{ "data": { "a": { "slug": "kronos", "name": "Kronos", "vendor": "Yu Shi (shiyu-coder, NeoQuasar), Tsinghua University", "vendorUrl": "https://github.com/shiyu-coder/Kronos", "kind": "weights", "category": "open-weights", "summary": "Kronos is an open-weight family of small forecasting models for financial candlestick (K-line) series, from Tsinghua University researchers. It reads open, high, low, close, volume and amount bars with timestamps and generates forecast bars, under MIT.", "url": "https://www.anchorterminal.com/tools/kronos", "markdownUrl": "https://www.anchorterminal.com/tools/kronos.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/kronos.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/kronos.json", "dns": "kronos.grade.anchorterminal.com", "repo": "https://github.com/shiyu-coder/Kronos", "license": "MIT", "transports": [], "packages": [ { "registry": "huggingface", "name": "NeoQuasar/Kronos-mini" }, { "registry": "huggingface", "name": "NeoQuasar/Kronos-small" }, { "registry": "huggingface", "name": "NeoQuasar/Kronos-base" }, { "registry": "huggingface", "name": "NeoQuasar/Kronos-Tokenizer-base" }, { "registry": "huggingface", "name": "NeoQuasar/Kronos-Tokenizer-2k" } ], "auth": "none", "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. The Hub reports gated false for all five NeoQuasar repositories, and the code is in a public GitHub repository (checked 2026-10-25).", "pricing": "free", "pricingNotes": "Free to download and use, commercial use included, under the MIT licence named in each card's metadata and in the GitHub repository's LICENSE. Nobody sells per-call access and no inference provider serves it. Running it costs the hardware, 0.03 GB for Kronos-mini with its tokeniser and 0.43 GB for Kronos-base with its tokeniser, in FP32 (checked 2026-10-25).", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-10-25).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 43000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-25" }, "docsUrl": "https://github.com/shiyu-coder/Kronos", "capabilities": [ "model.open-weights" ], "tags": [ "open-weights", "model", "time-series", "forecasting", "finance", "candlestick", "k-line", "mit", "safetensors", "self-hosted" ], "lastRelease": "2026-04-13", "graded": true, "anchor": { "graded": true, "score": 55.2, "grade": "C", "agentReady": false, "rank": 0, "ranked": false, "notRankedWhy": "An open-weight model, graded by the open-weight checklist and ranked among open-weight models, not against tools", "rankOf": 1518, "categoryRank": 91, "methodology": "0.7", "run": "2026-10-01", "scores": { "interface": 60, "reach": 55, "risk": 50, "upkeep": 61 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-04" }, "negative": 0, "verdict": "Forecasts the next price bars from a history of up to 512 candlestick bars. Every size fits in under 0.5 GB and runs on a CPU, but only through the publisher's own Python package. Nobody has benchmarked it independently, its quickstart data was deleted from the repository, and the publisher hasn't replied since November 2025.", "bestFor": "Agents that need a quick local forecast or synthetic sample of a candlestick series on modest hardware, for research or as one input among others.", "strengths": [ "MIT with nothing added, ungated, safetensors only with SHA-256 hashes", "Under 0.5 GB for every public size, so it runs on a CPU, Apple MPS or a small GPU", "Input and output documented as plain DataFrames, with batch prediction over many series", "Training data listed by exchange with observation counts, filtering and a June 2024 end" ], "weaknesses": [ "Runs only through the publisher's own PyTorch code from GitHub, in no named runtime and with no quantised build", "A 512-bar context for the small and base sizes, and the mean forecast only, without quantiles", "The sample data the quickstart reads was deleted on 13 April 2026, and the cards' licence link points at a missing branch", "No safety results, no security contact and no publisher reply in its Hugging Face discussions since November 2025", "The publisher's forecasting results come from its own paper, with no independent benchmark found" ], "agentNotes": [ "Clone https://github.com/shiyu-coder/Kronos and `pip install -r requirements.txt`, then load `Kronos.from_pretrained(\"NeoQuasar/Kronos-small\")` and `KronosTokenizer.from_pretrained(\"NeoQuasar/Kronos-Tokenizer-base\")` and wrap them in KronosPredictor", "Pair Kronos-mini with Kronos-Tokenizer-2k and Kronos-small or Kronos-base with Kronos-Tokenizer-base, the cards' pairing", "The examples read examples/data/XSHG_5min_600977.csv, which no longer exists; point them at tests/data/regression_input.csv, 2,500 five-minute bars", "Keep the lookback at or under max_context, 512 bars, and pass the future timestamps you want as y_timestamp, since the calendar fields come from them", "Raise sample_count for a steadier forecast, but expect only the mean back; call the lower-level auto_regressive_inference yourself if you need the paths", "Treat forecasts as model output to check, not signals; the README says its own backtest pipeline isn't a production trading system" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.2 } ], "editorialScores": { "interface": 60, "reach": 55, "risk": 50, "upkeep": 61 }, "provenanceScore": 50, "checked": { "categories": { "interface": "2026-11-04", "reach": "2026-11-04", "risk": "2026-11-04", "upkeep": "2026-11-04" }, "last": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "git clone https://github.com/shiyu-coder/Kronos \u0026\u0026 cd Kronos\npip install -r requirements.txt # Python 3.10+, PyTorch 2.0+\npython - \u003c\u003c'EOF'\nimport pandas as pd\nfrom model import Kronos, KronosTokenizer, KronosPredictor\ntok = KronosTokenizer.from_pretrained(\"NeoQuasar/Kronos-Tokenizer-base\")\nmodel = Kronos.from_pretrained(\"NeoQuasar/Kronos-small\")\np = KronosPredictor(model, tok, max_context=512) # picks cuda, mps or cpu\ndf = pd.read_csv(\"tests/data/regression_input.csv\", parse_dates=[\"timestamps\"])\nx, y = df.iloc[:400], df[\"timestamps\"].iloc[400:520]\ncols = [\"open\", \"high\", \"low\", \"close\", \"volume\", \"amount\"]\nprint(p.predict(df=x[cols], x_timestamp=x[\"timestamps\"], y_timestamp=y, pred_len=120, T=1.0, top_p=0.9, sample_count=1).head())\nEOF" }, "letme": { "capability": "https://letme.dev/model.open-weights", "tool": "https://letme.dev/kronos" }, "weights": { "trainedBy": "Yu Shi and co-authors, Tsinghua University", "params": "4.1M to 102.3M", "context": 512, "goodFor": "Forecasting the next bars of a financial candlestick series, or sampling synthetic ones, on any machine, from a short history of open, high, low, close, volume and amount.", "runtimes": [], "builds": [ { "name": "Kronos-mini", "url": "https://huggingface.co/NeoQuasar/Kronos-mini", "who": "publisher", "precision": "fp32", "sizeGB": 0.03, "memoryGB": 8, "format": "safetensors", "runsOn": [ "PyTorch" ], "note": "32,304,418 bytes with Kronos-Tokenizer-2k, which it needs (16,451,361 for the model repository and 15,853,057 for the tokeniser). 2,048-bar context per the card" }, { "name": "Kronos-small", "url": "https://huggingface.co/NeoQuasar/Kronos-small", "who": "publisher", "precision": "fp32", "sizeGB": 0.11, "memoryGB": 8, "format": "safetensors", "runsOn": [ "PyTorch" ], "note": "114,844,309 bytes with Kronos-Tokenizer-base (98,991,258 and 15,853,051). The model the card's and README's examples load" }, { "name": "Kronos-base", "url": "https://huggingface.co/NeoQuasar/Kronos-base", "who": "publisher", "precision": "fp32", "sizeGB": 0.43, "memoryGB": 8, "format": "safetensors", "runsOn": [ "PyTorch" ], "note": "425,127,647 bytes with Kronos-Tokenizer-base (409,274,596 and 15,853,051). The largest public size" } ], "run": "git clone https://github.com/shiyu-coder/Kronos \u0026\u0026 cd Kronos \u0026\u0026 pip install -r requirements.txt, then in Python: KronosPredictor(Kronos.from_pretrained(\"NeoQuasar/Kronos-small\"), KronosTokenizer.from_pretrained(\"NeoQuasar/Kronos-Tokenizer-base\"), max_context=512).predict(df=..., x_timestamp=..., y_timestamp=..., pred_len=120)", "runBuild": "Kronos-small", "checked": "2026-10-25", "minMemoryGB": 8 }, "area": "models", "provenance": { "legalEntity": "No company. Yu Shi publishes it from the GitHub account shiyu-coder and the Hugging Face user account NeoQuasar (named ShiYu), with co-authors at Tsinghua University per the paper", "domain": "github.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-25", "notes": [ "NeoQuasar is a Hugging Face user account (fullname ShiYu), not an organisation. The GitHub README and the paper link it, so it's the publisher's own account.", "Nothing is hosted, so the MIT licence stands in for terms of service and no privacy policy is scored.", "No SECURITY.md, security contact or disclosure policy was found in the GitHub repository or on the cards.", "No changelog and no GitHub releases. The README's News section has three dated items, the last on 10 November 2025." ], "score": 50 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/kronos.json", "live": { "slug": "kronos", "githubStars": 47440, "securityTxt": { "url": "https://github.com/.well-known/security.txt", "state": "valid", "expires": "2026-12-10T16:07:34z", "checkedAt": "2026-11-10T16:07:34.352094479Z" }, "domain": { "domain": "github.com", "registered": "2007-10-09", "source": "https://rdap.verisign.com/com/v1/domain/github.com", "checkedAt": "2026-11-08T15:13:35.342098516Z" }, "github": { "repo": "shiyu-coder/kronos", "checkedAt": "2026-11-09T10:02:46.822302547Z", "stars": 47378, "archived": false, "issuesEnabled": true, "pushedAt": "2026-04-13T12:38:49Z", "openIssues": 221, "openPRs": 77, "issuesOpened90d": 17, "issuesClosed90d": 3, "prsMerged90d": 0, "replies": { "sampled": 25, "unanswered": 21, "medianDays": 0.5 } }, "updatedAt": "2026-11-10T16:07:34.352094479Z" } }, "answer": "ZAYA1-8B scores 61 (C) on agent readiness against Kronos's 55.2 (C), and leads in 2 of 4 scored categories. Kronos leads on documentation and upkeep.", "b": { "slug": "zaya1-8b", "name": "ZAYA1-8B", "vendor": "Zyphra", "vendorUrl": "https://www.zyphra.com", "kind": "weights", "category": "open-weights", "summary": "ZAYA1-8B is Zyphra's open-weight reasoning model, a mixture of experts of 8.4B parameters with 760M active, trained from scratch for maths and coding. Apache 2.0. Zyphra's 4-bit build is 5.9 GB. Released SGLang and Transformers run it.", "url": "https://www.anchorterminal.com/tools/zaya1-8b", "markdownUrl": "https://www.anchorterminal.com/tools/zaya1-8b.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/zaya1-8b.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/zaya1-8b.json", "dns": "zaya1-8b.grade.anchorterminal.com", "repo": "https://huggingface.co/Zyphra/ZAYA1-8B", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "huggingface", "name": "Zyphra/ZAYA1-8B" }, { "registry": "huggingface", "name": "Zyphra/ZAYA1-8B-FP8-Experts" }, { "registry": "huggingface", "name": "Zyphra/ZAYA1-8B-MXFP4-Experts" } ], "auth": "none", "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. None of the repositories is gated (checked 2026-11-10).", "pricing": "free", "pricingNotes": "Free to download and use under Apache 2.0, per the main repository's metadata. Running it yourself costs little: 5.9 GB with the experts at 4 bits (MXFP4), 9.6 GB in FP8 or 17.7 GB in BF16 (checked 2026-11-10).", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-11-10).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-10" }, "docsUrl": "https://huggingface.co/Zyphra/ZAYA1-8B", "capabilities": [ "model.open-weights" ], "tags": [ "open-weights", "model", "moe", "small", "reasoning", "maths", "coding", "tool-calling", "apache-2.0", "safetensors", "fp8", "mxfp4", "self-hosted" ], "lastRelease": "2026-07-02", "graded": true, "anchor": { "graded": true, "score": 61, "grade": "C", "agentReady": false, "rank": 0, "ranked": false, "notRankedWhy": "An open-weight model, graded by the open-weight checklist and ranked among open-weight models, not against tools", "rankOf": 1518, "categoryRank": 67, "methodology": "0.7", "run": "2026-10-01", "scores": { "interface": 60, "reach": 80, "risk": 55, "upkeep": 50 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-10" }, "negative": 0, "verdict": "A small reasoning model trained from scratch by one lab, with a clean licence, 4-bit and FP8 builds and a team that answers questions. It's the hardest of the small models to run: its own architecture, a card that points at forks, and tool calling that needs a parser no release has. Little on limits, data or safety.", "bestFor": "People who want a small, fast reasoning model for maths and code and can live without tool calling", "strengths": [ "Apache 2.0, ungated", "5.9 GB at 4 bits, 760M parameters active", "Released Transformers and SGLang carry the architecture", "Zyphra replied in most of the recent discussions", "The original checkpoint is kept beside the reshaped one" ], "weaknesses": [ "Tool calling needs a parser that only Zyphra's vLLM fork has", "Released vLLM and llama.cpp don't run it, and there's no GGUF", "The card's install steps use forks", "No limitations, context length, languages, data or safety results on the card", "Benchmarks on the card are all from Zyphra's own harness" ], "agentNotes": [ "Use it for reasoning, maths and code. Don't count on tool calling outside Zyphra's vLLM fork", "Run it with Transformers 5.22.2 or SGLang 0.5.23, which have the model built in", "Use temperature 1.0 and top_p 0.95 in general, and temperature 0.6 for agent and code work", "Download `Zyphra/ZAYA1-8B`, not the legacy repository, for the released runtimes", "The quantised repositories have no licence tag. The main one is Apache 2.0" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61 } ], "editorialScores": { "interface": 60, "reach": 80, "risk": 55, "upkeep": 50 }, "provenanceScore": 56, "checked": { "categories": { "interface": "2026-11-10", "reach": "2026-11-10", "risk": "2026-11-10", "upkeep": "2026-11-10" }, "last": "2026-11-10", "oldest": "2026-11-10", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install \"sglang\u003e=0.5.23\"\npython -m sglang.launch_server --model-path Zyphra/ZAYA1-8B --reasoning-parser qwen3\n# the card's own route is vLLM from Zyphra's fork, with --tool-call-parser zaya_xml", "http": "# SGLang serves an OpenAI-compatible API at http://localhost:30000/v1. The card recommends temperature 1.0\n# and top_p 0.95 in general, and temperature 0.6 for agent and code work" }, "letme": { "capability": "https://letme.dev/model.open-weights", "tool": "https://letme.dev/zaya1-8b" }, "weights": { "trainedBy": "Zyphra", "builtOn": "ZAYA1-reasoning-base, Zyphra's own pre-trained model, per the card", "params": "8.4B", "active": "760M", "context": 131072, "goodFor": "Long step-by-step reasoning in maths and code on a small machine, and as the model inside a test-time compute harness.", "runtimes": [ "SGLang", "Transformers" ], "builds": [ { "name": "ZAYA1-8B-MXFP4-Experts", "url": "https://huggingface.co/Zyphra/ZAYA1-8B-MXFP4-Experts", "who": "publisher", "precision": "mxfp4", "sizeGB": 5.85, "memoryGB": 8, "format": "safetensors", "note": "Zyphra's build with the experts at 4 bits. Which released runtime loads it wasn't established" }, { "name": "ZAYA1-8B-FP8-Experts", "url": "https://huggingface.co/Zyphra/ZAYA1-8B-FP8-Experts", "who": "publisher", "precision": "fp8", "sizeGB": 9.64, "memoryGB": 12, "format": "safetensors", "note": "Zyphra's build with the experts in FP8" }, { "name": "ZAYA1-8B (BF16 safetensors)", "url": "https://huggingface.co/Zyphra/ZAYA1-8B", "who": "publisher", "precision": "bf16", "sizeGB": 17.68, "memoryGB": 24, "format": "safetensors", "runsOn": [ "SGLang", "Transformers" ], "note": "Four shards, reshaped for Transformers" } ], "run": "python -m sglang.launch_server --model-path Zyphra/ZAYA1-8B --reasoning-parser qwen3", "runBuild": "ZAYA1-8B (BF16 safetensors)", "checked": "2026-11-10", "minMemoryGB": 8 }, "family": { "lab": "Zyphra", "family": "ZAYA1", "url": "https://www.anchorterminal.com/open-weights/#zyphra", "others": [ { "name": "ZAYA1-VL-8B", "url": "https://huggingface.co/Zyphra/ZAYA1-VL-8B" }, { "name": "ZAYA1-74B-preview", "url": "https://huggingface.co/Zyphra/ZAYA1-74B-preview" } ] }, "area": "models", "provenance": { "legalEntity": "Zyphra, named on the card and its site. The legal entity wasn't looked up", "domain": "zyphra.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://huggingface.co/Zyphra/ZAYA1-8B/commits/main", "securityTxt": "none", "checked": "2026-11-10", "notes": [ "www.zyphra.com's robots.txt allows reading outside /studio and /api. Its about page gives a San Francisco address and names no people in the text read.", "The domain's registration date wasn't looked up. www.zyphra.com has no security.txt (404 on 10 November 2026).", "Nothing is hosted under this listing, so Apache 2.0 stands in for terms of service and no privacy policy is scored. Zyphra's site lists a cloud product for its open models, which wasn't read.", "The changelog is the commit history, 41 commits from 4 May to 26 June 2026." ], "score": 56 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/zaya1-8b.json" }, "edges": [ { "by": 25, "category": "reach", "leads": "zaya1-8b", "name": "Reach", "reasons": { "a": "Memory 30, the publisher's Kronos-mini with its tokeniser is 0.03 GB and even Kronos-base is 0.43 GB in FP32. Runtimes 0, it runs only through the publisher's own PyTorch package from GitHub, and none of the six named runtimes supports it. Builds 0, FP32 safetensors only. Terms 15, MIT with nothing added. Download 10, nothing is gated. Hosted 0, no inference provider or publisher API serves it (provider mapping still empty on 4 November).", "b": "Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB. Runtimes 10, Released Transformers 5.22.2 has the zaya model and SGLang 0.5.23 has srt/models/zaya.py. Builds 15, Quantised builds from Zyphra at two precisions, FP8 and MXFP4 for the experts, each in its own repository. Terms 15, Apache 2.0 in the card's metadata, an OSI licence with nothing added. Download 10, the Hub API reports gated false for the model and its builds on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it, and the card names no API. Zyphra's site lists a cloud product for its open models, which wasn't checked for this model. 30 + 10 + 15 + 15 + 10 + 0 = 80." }, "scores": { "a": 55, "b": 80 } }, { "by": 11, "category": "upkeep", "leads": "kronos", "name": "Documentation and upkeep", "reasons": { "a": "Model card 11, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't. Training data 20, the paper lists every exchange with asset and observation counts, the filtering and a June 2024 end. Last change 5, the reference code on 13 April 2026 (still the newest commit on 4 November, 205 days) and the Hub repositories on 9 September 2025. Responsiveness 20, the publisher answered 10 of 18 Hugging Face discussions (recounted by script on 4 November), though none since 24 November 2025, and the seven opened since April 2026 have no reply from it. Version policy 5, a first release. File health 0, the cards point to example data the repository has deleted and to licence and requirements links on a branch that doesn't exist.", "b": "Model card 5, Intended use and the parameter counts are on the card. Training data 0, Nothing on the card about the training data. Last change 10, the main repository last changed on 26 June 2026 (the checkpoint reshaped for Transformers), 137 days before this check, and the quantised repositories on 2 July, 131 days. Responsiveness 20, Of the 16 most recent discussions that aren't pull requests (7 May to 14 August 2026), 10 have a reply from a Zyphra member, which is most. Version policy 5, the original checkpoint is kept as ZAYA1-8B-legacy and the card says so at the top, without a date. File health 10, Config, template and card agree on the architecture after the reshape. 5 + 0 + 10 + 20 + 5 + 10 = 50." }, "scores": { "a": 61, "b": 50 } }, { "by": 5, "category": "risk", "leads": "zaya1-8b", "name": "Risk", "reasons": { "a": "File safety 15, safetensors only, but the only documented loading path is the publisher's Python package in place of a runtime. Provenance 15, the files are in the NeoQuasar account the publisher's README links, with SHA-256 hashes. Safety evaluation 0, none published. Agent guidance 5, the README's general cautions that the fine-tuning pipeline isn't a production trading system. Licence risk 15, plain MIT; the broken licence link is charged to file health. Security programme 0, no reporting route found.", "b": "File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository. Provenance 15, the files sit in the Zyphra organisation, which the card ties to zyphra.com's blog post for the model (10). Safety evaluation 0, no safety results on the card. Agent guidance 0, the card has no limitations or safety section, and nothing on prompt injection, instruction priority or what the model refuses. Licence risk 15, Apache 2.0 has no use policy, threshold or change clause. Security programme 0, no way to report a flaw on the card, and www.zyphra.com has no security.txt. 25 + 15 + 0 + 0 + 15 + 0 = 55." }, "scores": { "a": 50, "b": 55 } } ], "facts": [ { "a": "Open-weight model", "b": "Open-weight model", "name": "Kind" }, { "a": "Yu Shi (shiyu-coder, NeoQuasar), Tsinghua University", "b": "Zyphra", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-04-13", "b": "2026-07-02", "name": "Last release" }, { "a": "no document linked", "b": "no document linked", "name": "Terms last updated" }, { "a": "no document linked", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "43k stars", "b": "none", "name": "Popularity" } ], "faq": [ { "answer": "ZAYA1-8B scores 61 (C) on agent readiness against Kronos's 55.2 (C), and leads in 2 of 4 scored categories. Kronos leads on documentation and upkeep.", "question": "Which is better for AI agents, Kronos or ZAYA1-8B?" } ], "goodFor": [ { "aheadOn": [ "Documentation and upkeep, 61 against 50" ], "also": null, "goodFor": "Agents that need a quick local forecast or synthetic sample of a candlestick series on modest hardware, for research or as one input among others.", "slug": "kronos", "watchFor": "Runs only through the publisher's own PyTorch code from GitHub, in no named runtime and with no quantised build" }, { "aheadOn": [ "Reach, 80 against 55", "Risk, 55 against 50" ], "also": null, "goodFor": "People who want a small, fast reasoning model for maths and code and can live without tool calling", "slug": "zaya1-8b", "watchFor": "Tool calling needs a parser that only Zyphra's vLLM fork has" } ], "history": null, "job": { "capability": "model.open-weights", "name": "Open-weight models you run yourself" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-kronos.json", "title": "Agents-A1-4B vs Kronos", "url": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-zaya1-8b.json", "title": "Agents-A1-4B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-kronos.json", "title": "Apertus v1.5 8B vs Kronos", "url": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-zaya1-8b.json", "title": "Apertus v1.5 8B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-kronos.json", "title": "Apodex-1.1-mini vs Kronos", "url": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-zaya1-8b.json", "title": "Apodex-1.1-mini vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/arete-27b-vs-kronos.json", "title": "Arete-27B vs Kronos", "url": "https://www.anchorterminal.com/compare/arete-27b-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/arete-27b-vs-zaya1-8b.json", "title": "Arete-27B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/arete-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/bigbang-v1-vs-kronos.json", "title": "BigBang-v1 vs Kronos", "url": "https://www.anchorterminal.com/compare/bigbang-v1-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/bigbang-v1-vs-zaya1-8b.json", "title": "BigBang-v1 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/bigbang-v1-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/carbon-x-vs-kronos.json", "title": "Carbon-X vs Kronos", "url": "https://www.anchorterminal.com/compare/carbon-x-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/carbon-x-vs-zaya1-8b.json", "title": "Carbon-X vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/carbon-x-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-kronos.json", "title": "Cola2 vs Kronos", "url": "https://www.anchorterminal.com/compare/cola2-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b.json", "title": "Cola2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-kronos.json", "title": "Cosmos-Reason2-2B vs Kronos", "url": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-zaya1-8b.json", "title": "Cosmos-Reason2-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-kronos.json", "title": "Darwin-36B-Opus vs Kronos", "url": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-zaya1-8b.json", "title": "Darwin-36B-Opus vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-kronos.json", "title": "DeepSeek-V3.2 vs Kronos", "url": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-zaya1-8b.json", "title": "DeepSeek-V3.2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-kronos.json", "title": "DeepSeek V4.1 Flash vs Kronos", "url": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-zaya1-8b.json", "title": "DeepSeek V4.1 Flash vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kronos.json", "title": "DeepSeek-V4-Flash-0731 vs Kronos", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-zaya1-8b.json", "title": "DeepSeek-V4-Flash-0731 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/devstral-small-2-vs-kronos.json", "title": "Devstral Small 2 vs Kronos", "url": "https://www.anchorterminal.com/compare/devstral-small-2-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/devstral-small-2-vs-zaya1-8b.json", "title": "Devstral Small 2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/devstral-small-2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-kronos.json", "title": "DiffusionGemma 26B A4B IT vs Kronos", "url": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-zaya1-8b.json", "title": "DiffusionGemma 26B A4B IT vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-kronos.json", "title": "EXAONE 4.5 33B vs Kronos", "url": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-zaya1-8b.json", "title": "EXAONE 4.5 33B vs ZAYA1-8B", "url": 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"url": "https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-kronos.json", "title": "GLM-4.5-Air vs Kronos", "url": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-zaya1-8b.json", "title": "GLM-4.5-Air vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-kronos.json", "title": "GLM-4.7-Flash vs Kronos", "url": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-zaya1-8b.json", "title": "GLM-4.7-Flash vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-kronos.json", "title": "GLM-5.3-Flash vs Kronos", "url": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-zaya1-8b.json", "title": "GLM-5.3-Flash vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-vs-kronos.json", "title": "GLM-5.3 vs Kronos", "url": "https://www.anchorterminal.com/compare/glm-5-3-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-vs-zaya1-8b.json", "title": "GLM-5.3 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/glm-5-3-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-kronos.json", "title": "gpt-oss-120b vs Kronos", "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-zaya1-8b.json", "title": "gpt-oss-120b vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-kronos.json", "title": "gpt-oss-20b vs Kronos", "url": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-zaya1-8b.json", "title": "gpt-oss-20b vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-kronos.json", "title": "Granite 4.2 30B vs Kronos", "url": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-zaya1-8b.json", "title": "Granite 4.2 30B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-kronos.json", "title": "Granite 4.2 3B vs Kronos", "url": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-kronos" }, { "json": 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{ "json": "https://www.anchorterminal.com/compare/hy3-vs-kronos.json", "title": "Hy3 vs Kronos", "url": "https://www.anchorterminal.com/compare/hy3-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/hy3-vs-zaya1-8b.json", "title": "Hy3 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/hy3-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/inkling-small-vs-kronos.json", "title": "Inkling-Small vs Kronos", "url": "https://www.anchorterminal.com/compare/inkling-small-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/inkling-small-vs-zaya1-8b.json", "title": "Inkling-Small vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/inkling-small-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/inkling-vs-kronos.json", "title": "Inkling vs Kronos", "url": "https://www.anchorterminal.com/compare/inkling-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/inkling-vs-zaya1-8b.json", "title": "Inkling vs 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Laguna S 2.1", "url": "https://www.anchorterminal.com/compare/kronos-vs-laguna-s-2-1" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-laguna-xs-2-1.json", "title": "Kronos vs Laguna XS 2.1", "url": "https://www.anchorterminal.com/compare/kronos-vs-laguna-xs-2-1" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-lbs-27b.json", "title": "Kronos vs LBS-27B", "url": "https://www.anchorterminal.com/compare/kronos-vs-lbs-27b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-lfm2-5-2-6b.json", "title": "Kronos vs LFM2.5-2.6B", "url": "https://www.anchorterminal.com/compare/kronos-vs-lfm2-5-2-6b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-lfm3-1-7b.json", "title": "Kronos vs LFM3-1.7B", "url": "https://www.anchorterminal.com/compare/kronos-vs-lfm3-1-7b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-lfm3-audio-2b.json", "title": "Kronos vs LFM3-Audio-2B", "url": 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"https://www.anchorterminal.com/compare/kronos-vs-longcat-2-5" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-mimo-v2-6-distill-qwen-9b.json", "title": "Kronos vs MiMo-V2.6 Distill Qwen 9B", "url": "https://www.anchorterminal.com/compare/kronos-vs-mimo-v2-6-distill-qwen-9b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-mimo-v2-6-flash-rl.json", "title": "Kronos vs MiMo-V2.6-Flash-RL", "url": "https://www.anchorterminal.com/compare/kronos-vs-mimo-v2-6-flash-rl" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-minicpm-o-4-5.json", "title": "Kronos vs MiniCPM-o 4.5", "url": "https://www.anchorterminal.com/compare/kronos-vs-minicpm-o-4-5" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-minicpm-v-4-7-1b.json", "title": "Kronos vs MiniCPM-V 4.7 1B", "url": "https://www.anchorterminal.com/compare/kronos-vs-minicpm-v-4-7-1b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-minicpm-v-4-7-35b-a3b.json", "title": "Kronos vs MiniCPM-V 4.7 35B-A3B", "url": "https://www.anchorterminal.com/compare/kronos-vs-minicpm-v-4-7-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-minicpm5-2b.json", "title": "Kronos vs MiniCPM5-2B", "url": "https://www.anchorterminal.com/compare/kronos-vs-minicpm5-2b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-minimax-m2-5.json", "title": "Kronos vs MiniMax-M2.5", "url": "https://www.anchorterminal.com/compare/kronos-vs-minimax-m2-5" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-minimax-m2-7.json", "title": "Kronos vs MiniMax-M2.7", "url": "https://www.anchorterminal.com/compare/kronos-vs-minimax-m2-7" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-minimax-m3-1-flash.json", "title": "Kronos vs MiniMax-M3.1-Flash", "url": "https://www.anchorterminal.com/compare/kronos-vs-minimax-m3-1-flash" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-mistral-large-4.json", "title": "Kronos vs Mistral Large 4", "url": "https://www.anchorterminal.com/compare/kronos-vs-mistral-large-4" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-muse-glimmer-30b.json", "title": "Kronos vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/kronos-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-nanbeige-4-2-3b.json", "title": "Kronos vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/kronos-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-nanbeige-4-3-33b.json", "title": "Kronos vs Nanbeige4.3-33B", "url": "https://www.anchorterminal.com/compare/kronos-vs-nanbeige-4-3-33b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-5-bolt-e4b-4gb.json", "title": "Kronos vs NVIDIA Nemotron 3.5 Bolt E4B 4GB", "url": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-5-bolt-e4b-4gb" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-5-lightning-30b-a3b.json", "title": "Kronos vs Nemotron 3.5 Lightning 30B A3B", "url": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-5-lightning-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-nano-30b-a3b.json", "title": "Kronos vs Nemotron 3 Nano 30B A3B", "url": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-nano-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-nano-4b.json", "title": "Kronos vs Nemotron 3 Nano 4B", "url": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-nano-4b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-nano-omni-30b-a3b-reasoning.json", "title": "Kronos vs Nemotron 3 Nano Omni 30B A3B Reasoning", "url": "https://www.anchorterminal.com/compare/kronos-vs-nemotron-3-nano-omni-30b-a3b-reasoning" }, { "json": 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"https://www.anchorterminal.com/compare/kronos-vs-qwen3-6-27b.json", "title": "Kronos vs Qwen3.6-27B", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-6-27b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-6-35b-a3b.json", "title": "Kronos vs Qwen3.6-35B-A3B", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-6-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-8-27b.json", "title": "Kronos vs Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-8-flash-next.json", "title": "Kronos vs Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-coder-30b-a3b-instruct.json", "title": "Kronos vs Qwen3-Coder-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-coder-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-coder-next.json", "title": "Kronos vs Qwen3-Coder-Next", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-coder-next" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-omni-30b-a3b-instruct.json", "title": "Kronos vs Qwen3-Omni-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-omni-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-2b-instruct.json", "title": "Kronos vs Qwen3-VL-2B-Instruct", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-2b-instruct" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-30b-a3b-instruct.json", "title": "Kronos vs Qwen3-VL-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-32b-instruct.json", "title": "Kronos vs Qwen3-VL-32B-Instruct", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-32b-instruct" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-4b-instruct.json", "title": "Kronos vs Qwen3-VL-4B-Instruct", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-4b-instruct" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-8b-instruct.json", "title": "Kronos vs Qwen3-VL-8B-Instruct", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-vl-8b-instruct" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwopus3-8-27b-flash-v2.json", "title": "Kronos vs Qwopus3.8-27B-Flash-V2", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwopus3-8-27b-flash-v2" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-recursive-flint.json", "title": "Kronos vs Recursive Flint", "url": "https://www.anchorterminal.com/compare/kronos-vs-recursive-flint" }, { "json": 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"json": "https://www.anchorterminal.com/compare/kronos-vs-swift-1-5-qwen3-8-27b.json", "title": "Kronos vs Swift 1.5 Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/kronos-vs-swift-1-5-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-swift-1-5-qwen3-8-flash-next.json", "title": "Kronos vs Swift 1.5 Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/kronos-vs-swift-1-5-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-thinkingcap-qwen3-8-27b.json", "title": "Kronos vs ThinkingCap (Qwen3.8 27B)", "url": "https://www.anchorterminal.com/compare/kronos-vs-thinkingcap-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-unlimited-ocr-2.json", "title": "Kronos vs Baidu Unlimited-OCR-2", "url": "https://www.anchorterminal.com/compare/kronos-vs-unlimited-ocr-2" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-wevisone-vl-2b.json", "title": "Kronos vs WeVisOne-VL-2B", "url": "https://www.anchorterminal.com/compare/kronos-vs-wevisone-vl-2b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-wevisone-vl-4b.json", "title": "Kronos vs WeVisOne-VL-4B", "url": "https://www.anchorterminal.com/compare/kronos-vs-wevisone-vl-4b" }, { "json": "https://www.anchorterminal.com/compare/laguna-m-1-vs-zaya1-8b.json", "title": "Laguna M.1 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/laguna-m-1-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-zaya1-8b.json", "title": "Laguna S 2.1 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-zaya1-8b.json", "title": "Laguna XS 2.1 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/lbs-27b-vs-zaya1-8b.json", "title": "LBS-27B vs ZAYA1-8B", "url": 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}, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-zaya1-8b.json", "title": "Nanbeige4.2-3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-zaya1-8b.json", "title": "Nanbeige4.3-33B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-zaya1-8b.json", "title": "NVIDIA Nemotron 3.5 Bolt E4B 4GB vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-zaya1-8b.json", "title": "Nemotron 3.5 Lightning 30B A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-zaya1-8b.json", 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ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-zaya1-8b.json", "title": "North Mini Code 1.0 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/occamy-1-0-vs-zaya1-8b.json", "title": "occamy-1.0 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/occamy-1-0-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-zaya1-8b.json", "title": "Olmo 3 7B Think vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-zaya1-8b.json", "title": "Ornith-1.5-122B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-zaya1-8b.json", "title": "Ornith-1.5-35B-A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-zaya1-8b.json", "title": "Ornith-1.5-397B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-zaya1-8b.json", "title": "Ornith-1.5-9B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-zaya1-8b.json", "title": "OTel-2.0-LLM-31B-IT vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-zaya1-8b.json", "title": "Qwen-AgentWorld-35B-A3B vs ZAYA1-8B", "url": 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"https://www.anchorterminal.com/compare/qwen3-5-2b-vs-zaya1-8b.json", "title": "Qwen3.5-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-zaya1-8b.json", "title": "Qwen3.5-397B-A17B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-4b-vs-zaya1-8b.json", "title": "Qwen3.5-4B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-4b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-zaya1-8b.json", "title": "Qwen3.5-9B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-6-27b-vs-zaya1-8b.json", "title": "Qwen3.6-27B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-6-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-6-35b-a3b-vs-zaya1-8b.json", "title": "Qwen3.6-35B-A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-6-35b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-8-27b-vs-zaya1-8b.json", "title": "Qwen3.8-27B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-8-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-8-flash-next-vs-zaya1-8b.json", "title": "Qwen3.8-Flash-Next vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-8-flash-next-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-coder-30b-a3b-instruct-vs-zaya1-8b.json", "title": "Qwen3-Coder-30B-A3B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-coder-30b-a3b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-coder-next-vs-zaya1-8b.json", "title": "Qwen3-Coder-Next vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-coder-next-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-omni-30b-a3b-instruct-vs-zaya1-8b.json", "title": "Qwen3-Omni-30B-A3B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-omni-30b-a3b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-2b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-2B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-2b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-30b-a3b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-30B-A3B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-30b-a3b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-32b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-32B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-32b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-4b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-4B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-4b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-8b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-8B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-8b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwopus3-8-27b-flash-v2-vs-zaya1-8b.json", "title": "Qwopus3.8-27B-Flash-V2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwopus3-8-27b-flash-v2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/recursive-flint-vs-zaya1-8b.json", "title": "Recursive Flint vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/recursive-flint-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ripple-65b-preview-vs-zaya1-8b.json", "title": "Ripple-65B Preview vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ripple-65b-preview-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/sensenova-loop-9b-preview-vs-zaya1-8b.json", "title": "SenseNova-Loop-9B-Preview vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/sensenova-loop-9b-preview-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/smollm3-3b-vs-zaya1-8b.json", "title": "SmolLM3-3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/smollm3-3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/spark-x2-6-4b-vs-zaya1-8b.json", "title": "Spark-X2.6-4B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/spark-x2-6-4b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/step-3-7-flash-vs-zaya1-8b.json", "title": "Step 3.7 Flash vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/step-3-7-flash-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-27b-vs-zaya1-8b.json", "title": "Swift 1.5 Qwen3.8-27B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-flash-next-vs-zaya1-8b.json", "title": "Swift 1.5 Qwen3.8-Flash-Next vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-flash-next-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/thinkingcap-qwen3-8-27b-vs-zaya1-8b.json", "title": "ThinkingCap (Qwen3.8 27B) vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/thinkingcap-qwen3-8-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/unlimited-ocr-2-vs-zaya1-8b.json", "title": "Baidu Unlimited-OCR-2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/unlimited-ocr-2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b.json", "title": "WeVisOne-VL-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/wevisone-vl-4b-vs-zaya1-8b.json", "title": "WeVisOne-VL-4B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/wevisone-vl-4b-vs-zaya1-8b" } ], "panel": null, "scores": [ { "key": "capability", "name": "Capability", "pending": true, "weight": 35 }, { "by": 25, "edge": "zaya1-8b", "key": "reach", "kronos": 55, "name": "Reach", "weight": 25, "zaya1-8b": 80 }, { "by": 5, "edge": "zaya1-8b", "key": "risk", "kronos": 50, "name": "Risk", "weight": 20, "zaya1-8b": 55 }, { "by": 0, "edge": "", "key": "interface", "kronos": 60, "name": "Agent interface", "weight": 10, "zaya1-8b": 60 }, { "by": 11, "edge": "kronos", "key": "upkeep", "kronos": 61, "name": "Documentation and upkeep", "weight": 10, "zaya1-8b": 50 } ], "summary": "ZAYA1-8B scores 61 (C) on agent readiness against Kronos's 55.2 (C), and leads in 2 of 4 scored categories. Kronos leads on documentation and upkeep. Both do open-weight models you run yourself.", "tasks": null, "tutorials": [], "verdicts": { "kronos": "Forecasts the next price bars from a history of up to 512 candlestick bars. Every size fits in under 0.5 GB and runs on a CPU, but only through the publisher's own Python package. Nobody has benchmarked it independently, its quickstart data was deleted from the repository, and the publisher hasn't replied since November 2025.", "zaya1-8b": "A small reasoning model trained from scratch by one lab, with a clean licence, 4-bit and FP8 builds and a team that answers questions. It's the hardest of the small models to run: its own architecture, a card that points at forks, and tool calling that needs a parser no release has. Little on limits, data or safety." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b", "json": "https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b.min.md" }, "markdown": "ZAYA1-8B scores 61 (C) on agent readiness against Kronos's 55.2 (C), and leads in 2 of 4 scored categories. Kronos leads on documentation and upkeep. Both do open-weight models you run yourself.\n\n- Kronos: grade C, 55.2/100, rank #122 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/kronos.md · JSON https://www.anchorterminal.com/api/v1/tools/kronos.json\n- ZAYA1-8B: grade C, 61/100, rank #85 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/zaya1-8b.md · JSON https://www.anchorterminal.com/api/v1/tools/zaya1-8b.json\n- Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md\n- All 6359 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md\n\n## Which one, for what\n\n### Kronos (C)\n\nGood for: Agents that need a quick local forecast or synthetic sample of a candlestick series on modest hardware, for research or as one input among others.\n\nAhead on:\n- Documentation and upkeep, 61 against 50\n\nWatch for: Runs only through the publisher's own PyTorch code from GitHub, in no named runtime and with no quantised build\n\n### ZAYA1-8B (C)\n\nGood for: People who want a small, fast reasoning model for maths and code and can live without tool calling\n\nAhead on:\n- Reach, 80 against 55\n- Risk, 55 against 50\n\nWatch for: Tool calling needs a parser that only Zyphra's vLLM fork has\n\n\n## Why the edge\n\n### Reach: ZAYA1-8B +25\n\n- Kronos (55): Memory 30, the publisher's Kronos-mini with its tokeniser is 0.03 GB and even Kronos-base is 0.43 GB in FP32. Runtimes 0, it runs only through the publisher's own PyTorch package from GitHub, and none of the six named runtimes supports it. Builds 0, FP32 safetensors only. Terms 15, MIT with nothing added. Download 10, nothing is gated. Hosted 0, no inference provider or publisher API serves it (provider mapping still empty on 4 November).\n- ZAYA1-8B (80): Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB. Runtimes 10, Released Transformers 5.22.2 has the zaya model and SGLang 0.5.23 has srt/models/zaya.py. Builds 15, Quantised builds from Zyphra at two precisions, FP8 and MXFP4 for the experts, each in its own repository. Terms 15, Apache 2.0 in the card's metadata, an OSI licence with nothing added. Download 10, the Hub API reports gated false for the model and its builds on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it, and the card names no API. Zyphra's site lists a cloud product for its open models, which wasn't checked for this model. 30 + 10 + 15 + 15 + 10 + 0 = 80.\n\n### Documentation and upkeep: Kronos +11\n\n- Kronos (61): Model card 11, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't. Training data 20, the paper lists every exchange with asset and observation counts, the filtering and a June 2024 end. Last change 5, the reference code on 13 April 2026 (still the newest commit on 4 November, 205 days) and the Hub repositories on 9 September 2025. Responsiveness 20, the publisher answered 10 of 18 Hugging Face discussions (recounted by script on 4 November), though none since 24 November 2025, and the seven opened since April 2026 have no reply from it. Version policy 5, a first release. File health 0, the cards point to example data the repository has deleted and to licence and requirements links on a branch that doesn't exist.\n- ZAYA1-8B (50): Model card 5, Intended use and the parameter counts are on the card. Training data 0, Nothing on the card about the training data. Last change 10, the main repository last changed on 26 June 2026 (the checkpoint reshaped for Transformers), 137 days before this check, and the quantised repositories on 2 July, 131 days. Responsiveness 20, Of the 16 most recent discussions that aren't pull requests (7 May to 14 August 2026), 10 have a reply from a Zyphra member, which is most. Version policy 5, the original checkpoint is kept as ZAYA1-8B-legacy and the card says so at the top, without a date. File health 10, Config, template and card agree on the architecture after the reshape. 5 + 0 + 10 + 20 + 5 + 10 = 50.\n\n### Risk: ZAYA1-8B +5\n\n- Kronos (50): File safety 15, safetensors only, but the only documented loading path is the publisher's Python package in place of a runtime. Provenance 15, the files are in the NeoQuasar account the publisher's README links, with SHA-256 hashes. Safety evaluation 0, none published. Agent guidance 5, the README's general cautions that the fine-tuning pipeline isn't a production trading system. Licence risk 15, plain MIT; the broken licence link is charged to file health. Security programme 0, no reporting route found.\n- ZAYA1-8B (55): File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository. Provenance 15, the files sit in the Zyphra organisation, which the card ties to zyphra.com's blog post for the model (10). Safety evaluation 0, no safety results on the card. Agent guidance 0, the card has no limitations or safety section, and nothing on prompt injection, instruction priority or what the model refuses. Licence risk 15, Apache 2.0 has no use policy, threshold or change clause. Security programme 0, no way to report a flaw on the card, and www.zyphra.com has no security.txt. 25 + 15 + 0 + 0 + 15 + 0 = 55.\n\n## Score by category\n\n| Category | Weight | Kronos | ZAYA1-8B | Edge |\n| --- | --- | --- | --- | --- |\n| Capability | 35%, pending | pending | pending | not scored in this run |\n| Reach | 25% (25 this run) | 55 | 80 | ZAYA1-8B +25 |\n| Risk | 20% (20 this run) | 50 | 55 | ZAYA1-8B +5 |\n| Agent interface | 10% (10 this run) | 60 | 60 | even |\n| Documentation and upkeep | 10% (10 this run) | 61 | 50 | Kronos +11 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.2 · C** | **61 · C** | |\n\n## Facts side by side\n\n| Fact | Kronos | ZAYA1-8B |\n| --- | --- | --- |\n| Kind | Open-weight model | Open-weight model |\n| Vendor | Yu Shi (shiyu-coder, NeoQuasar), Tsinghua University | Zyphra |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-04-13 | 2026-07-02 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Popularity | 43k stars | none |\n\n## Verdicts\n\n**Kronos.** Forecasts the next price bars from a history of up to 512 candlestick bars. Every size fits in under 0.5 GB and runs on a CPU, but only through the publisher's own Python package. Nobody has benchmarked it independently, its quickstart data was deleted from the repository, and the publisher hasn't replied since November 2025.\n\n**ZAYA1-8B.** A small reasoning model trained from scratch by one lab, with a clean licence, 4-bit and FP8 builds and a team that answers questions. It's the hardest of the small models to run: its own architecture, a card that points at forks, and tool calling that needs a parser no release has. Little on limits, data or safety.\n\n## Before you call either\n\n### Kronos\n\n1. Clone https://github.com/shiyu-coder/Kronos and `pip install -r requirements.txt`, then load `Kronos.from_pretrained(\"NeoQuasar/Kronos-small\")` and `KronosTokenizer.from_pretrained(\"NeoQuasar/Kronos-Tokenizer-base\")` and wrap them in KronosPredictor\n2. Pair Kronos-mini with Kronos-Tokenizer-2k and Kronos-small or Kronos-base with Kronos-Tokenizer-base, the cards' pairing\n3. The examples read examples/data/XSHG_5min_600977.csv, which no longer exists; point them at tests/data/regression_input.csv, 2,500 five-minute bars\n4. Keep the lookback at or under max_context, 512 bars, and pass the future timestamps you want as y_timestamp, since the calendar fields come from them\n5. Raise sample_count for a steadier forecast, but expect only the mean back; call the lower-level auto_regressive_inference yourself if you need the paths\n6. Treat forecasts as model output to check, not signals; the README says its own backtest pipeline isn't a production trading system\n\n### ZAYA1-8B\n\n1. Use it for reasoning, maths and code. Don't count on tool calling outside Zyphra's vLLM fork\n2. Run it with Transformers 5.22.2 or SGLang 0.5.23, which have the model built in\n3. Use temperature 1.0 and top_p 0.95 in general, and temperature 0.6 for agent and code work\n4. Download `Zyphra/ZAYA1-8B`, not the legacy repository, for the released runtimes\n5. The quantised repositories have no licence tag. The main one is Apache 2.0\n\n## Questions\n\n### Which is better for AI agents, Kronos or ZAYA1-8B?\n\nZAYA1-8B scores 61 (C) on agent readiness against Kronos's 55.2 (C), and leads in 2 of 4 scored categories. Kronos leads on documentation and upkeep.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"kronos\", \"b\": \"zaya1-8b\"}`. 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Unlimited-OCR-2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/unlimited-ocr-2-vs-zaya1-8b.md)\n- [WeVisOne-VL-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b.md)\n- [WeVisOne-VL-4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/wevisone-vl-4b-vs-zaya1-8b.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-11", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": 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