{ "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "tool": { "slug": "nebius-token-factory-fine-tuning", "name": "Nebius Token Factory fine-tuning", "vendor": "Nebius", "vendorUrl": "https://nebius.com", "kind": "http-api", "category": "fine-tuning", "summary": "Nebius Token Factory runs supervised fine-tuning jobs on open models such as Llama, Qwen, gpt-oss, Gemma and DeepSeek through an OpenAI-compatible REST API, with LoRA or full weights and downloadable checkpoints.", "url": "https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning", "markdownUrl": "https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/nebius-token-factory-fine-tuning.json", "repo": "https://github.com/nebius/token-factory-cookbook", "license": "Proprietary service (cookbook examples MIT)", "transports": [ "http" ], "remoteUrl": "https://api.tokenfactory.nebius.com/v1", "packages": [], "auth": "api-key", "authNotes": "`Authorization: Bearer` with an API key created by a person in the console under API keys, shown once and read from `NEBIUS_API_KEY` in the docs. Keys belong to a project. Project Admins and Members both have full access to the Files and Fine-tuning APIs, and no per-key scopes or expiry were found in the reviewed documentation.", "pricing": "usage", "pricingNotes": "Pay as you go, with no monthly fee stated. No fine-tuning price was found in the docs or in the public catalogue at `/api/public/models_info`. The product page sends readers to the Token Factory console's prices page, a script-drawn console page that robots.txt disallows, so we did not read it. A bank card is mandatory at onboarding. New accounts get $1 of trial credit valid for 30 days (https://docs.tokenfactory.nebius.com/other-capabilities/billing-new.md). Dedicated endpoints bill while one or more replicas are ready.", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI file or the billing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.tokenfactory.nebius.com/post-training/overview", "llmsTxt": "https://docs.tokenfactory.nebius.com/llms.txt", "openapi": "https://api.tokenfactory.nebius.com/openapi.json", "capabilities": [ "finetune.sft", "finetune.lora", "finetune.export" ], "tags": [ "hosted", "usage-priced", "card-required", "open-weights", "llms-txt", "openapi", "async-jobs" ], "lastRelease": "2026-09-30", "graded": true, "anchor": { "graded": true, "score": 47.7, "grade": "D", "agentReady": false, "rank": 738, "ranked": true, "rankOf": 842, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 51, "maintenance": 61, "payments": 0, "reliability": 45, "schema": 68, "security": 52, "transparency": 79 }, "pending": [ "performance", "tasks" ], "breakdown": [ { "key": "reliability", "name": "Reliability", "weight": 16, "effectiveWeight": 20, "score": 45, "points": 9, "reason": "Scored with the hosted lines. status.nebius.com is a Statuspage for the whole Nebius cloud with a Token Factory component in each of nine regions and none for fine-tuning (15 of 20). From 10 July to 8 October 2026 two major incidents were tagged Token Factory, a network incident of 93 minutes on 27 July and overheating hardware in us-central1 from 19 to 20 August lasting about 21.5 hours, with a post-mortem linked on 1 September. The second was confined to one region, so 5 instead of 0. Rate limits are dynamic, the docs show a 60 requests and 400,000 tokens a minute baseline as an example and send readers to the console for their own, and no fine-tuning job limit was found (8). 429 responses carry `Retry-After` and `x-ratelimit-*` headers, and the guide says to poll at 15 seconds or slower and to recreate a job after a 5xx, with no idempotency key (10). The published SLA document names no Token Factory service level, and the docs say an SLA comes with the Enterprise tier by contract (0). Supervised fine-tuning carries no beta label, but custom model weights for serving are in beta on request (7)." }, { "key": "performance", "name": "Performance", "weight": 10, "effectiveWeight": 0, "pending": true, "points": 0, "reason": "Pending. Latency is measured per call by our probes, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until the first probe window closes." }, { "key": "schema", "name": "Schema \u0026 documentation", "weight": 13, "effectiveWeight": 16.25, "score": 68, "points": 11.05, "reason": "A public OpenAPI 3.1 file at api.tokenfactory.nebius.com/openapi.json covers `/v1/fine_tuning/jobs`, events, checkpoints, files, datasets and operations (25). llms.txt, llms-full.txt and a Markdown twin of every docs page (10). Operation descriptions are one line each. The guide explains each hyperparameter with ranges and when to change it (10). Hyperparameters carry minimums, maximums and defaults, status is a six-value enum and two fields are required, but the request allows additional properties and a free-form `extra_body` (11). Python and cURL examples with sample responses. The reference documents only a 422 validation response, and the guide disagrees with the spec on integrations (it lists only `wandb` as supported and omits the required `api_key`) (7). Paths are versioned `/v1` and the spec is date-stamped 20260930, with no public changelog found (5)." }, { "key": "ergonomics", "name": "Agent ergonomics", "weight": 13, "effectiveWeight": 16.25, "score": 51, "points": 8.29, "reason": "List calls take `limit`, and job objects are compact, with no field selection (12). `limit` and `after` cursors on jobs, events and checkpoints, and a `purpose` filter on files. No filter by status or model found (12). A failed job returns an `error` object with `code`, `message` and `param`, and validation errors name the field. No list of error codes found (10). No idempotency key on job creation. The guide says to recreate a job after a 5xx, and a cancel call exists (5). Only `model` and `training_file` are required and every hyperparameter has a default. There is no Nebius SDK for this API, and the docs use OpenAI's Python and JavaScript clients (12)." }, { "key": "security", "name": "Security \u0026 auth", "weight": 14, "effectiveWeight": 17.5, "score": 52, "points": 9.1, "reason": "Bearer API keys created and deleted per project in the console, shown once. No scopes, expiry or rotation API found in the reviewed documentation (20). Project Admins and Members both have full access to the Files and Fine-tuning APIs, the Billing Manager group has no resource access, and there is no read-only role or confirmation step for deletes (5). Responses carry job state and the customer's own files, no third-party content (10). A usage view by project, service and product. No audit log for Token Factory API calls found (3). security.txt on nebius.com is valid until 31 December 2027, and the trust centre lists SOC 2 Type II, ISO 27001, 27701 and 42001 among others without naming Token Factory in scope. No bug bounty found (14). Hugging Face and Weights \u0026 Biases tokens travel in the job request body and are marked write-only in the spec." }, { "key": "payments", "name": "Payments \u0026 pricing", "weight": 10, "effectiveWeight": 12.5, "score": 0, "points": 0, "reason": "No machine payment protocol (0). No fine-tuning price was found in the docs or the public catalogue JSON, and the product page points to a console price page that is script-drawn and disallowed by robots.txt, which we did not read. Scored as absent for that reason, not as a finding that prices are hidden (0). A bank card is mandatory at onboarding, so the $1 credit for 30 days is not a card-free trial (0). Sign-up, billing and key creation are browser steps (0)." }, { "key": "tasks", "name": "Task success", "weight": 10, "effectiveWeight": 0, "pending": true, "points": 0, "reason": "Pending. Task success needs the category task suites run through each tool, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until then. A data provider's data-quality score is published on its listing now and becomes half of this category when it's scored." }, { "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7, "effectiveWeight": 8.75, "score": 61, "points": 5.34, "reason": "The OpenAPI file is stamped 20260930 and the fine-tuning reference pages were last modified on 2 October 2026 per the docs sitemap (30). No changelog exists. Dated evidence in the last 90 days is the August deprecation notice, legal documents of 15 and 23 September and 177 docs pages modified in September and October, which earns half (10). Support is a contact form and a Discord community, and the cookbook repository had 127 commits since 10 July 2026 with merged pull requests. We did not read its issue tracker (8). No SDK of its own. The docs rely on current OpenAI clients (8). The cookbook carries tests and a SECURITY.md that points to a different repository (5)." }, { "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7, "effectiveWeight": 8.75, "score": 79, "points": 6.91, "note": "editorial 70, provenance 88", "reason": "Closed service under the Nebius Services Agreement and Token Factory Supplemental Terms, which name the contracting entity by region. The cookbook is MIT (18). The legal guide, DPA and terms agree that content is not used for training and that fine-tuning data is stored in the EU. Inputs and outputs are kept for speculative decoding unless Zero Data Retention is on, no retention period for datasets or checkpoints was found, and the terms allow deletion of tuned models at three days' notice (22). Dated deprecation notices for June and August 2026 name replacements for serverless models. No written minimum notice period found (10). A Token Factory sub-processor list dated 23 September 2026 gives each entity, role, location and transfer mechanism, with 15 days' notice of changes (20)." } ], "assessment": { "date": "2026-10-08", "basis": "public evidence", "confidence": "medium", "notes": { "ergonomics": "List calls take `limit`, and job objects are compact, with no field selection (12). `limit` and `after` cursors on jobs, events and checkpoints, and a `purpose` filter on files. No filter by status or model found (12). A failed job returns an `error` object with `code`, `message` and `param`, and validation errors name the field. No list of error codes found (10). No idempotency key on job creation. The guide says to recreate a job after a 5xx, and a cancel call exists (5). Only `model` and `training_file` are required and every hyperparameter has a default. There is no Nebius SDK for this API, and the docs use OpenAI's Python and JavaScript clients (12).", "maintenance": "The OpenAPI file is stamped 20260930 and the fine-tuning reference pages were last modified on 2 October 2026 per the docs sitemap (30). No changelog exists. Dated evidence in the last 90 days is the August deprecation notice, legal documents of 15 and 23 September and 177 docs pages modified in September and October, which earns half (10). Support is a contact form and a Discord community, and the cookbook repository had 127 commits since 10 July 2026 with merged pull requests. We did not read its issue tracker (8). No SDK of its own. The docs rely on current OpenAI clients (8). The cookbook carries tests and a SECURITY.md that points to a different repository (5).", "payments": "No machine payment protocol (0). No fine-tuning price was found in the docs or the public catalogue JSON, and the product page points to a console price page that is script-drawn and disallowed by robots.txt, which we did not read. Scored as absent for that reason, not as a finding that prices are hidden (0). A bank card is mandatory at onboarding, so the $1 credit for 30 days is not a card-free trial (0). Sign-up, billing and key creation are browser steps (0).", "reliability": "Scored with the hosted lines. status.nebius.com is a Statuspage for the whole Nebius cloud with a Token Factory component in each of nine regions and none for fine-tuning (15 of 20). From 10 July to 8 October 2026 two major incidents were tagged Token Factory, a network incident of 93 minutes on 27 July and overheating hardware in us-central1 from 19 to 20 August lasting about 21.5 hours, with a post-mortem linked on 1 September. The second was confined to one region, so 5 instead of 0. Rate limits are dynamic, the docs show a 60 requests and 400,000 tokens a minute baseline as an example and send readers to the console for their own, and no fine-tuning job limit was found (8). 429 responses carry `Retry-After` and `x-ratelimit-*` headers, and the guide says to poll at 15 seconds or slower and to recreate a job after a 5xx, with no idempotency key (10). The published SLA document names no Token Factory service level, and the docs say an SLA comes with the Enterprise tier by contract (0). Supervised fine-tuning carries no beta label, but custom model weights for serving are in beta on request (7).", "schema": "A public OpenAPI 3.1 file at api.tokenfactory.nebius.com/openapi.json covers `/v1/fine_tuning/jobs`, events, checkpoints, files, datasets and operations (25). llms.txt, llms-full.txt and a Markdown twin of every docs page (10). Operation descriptions are one line each. The guide explains each hyperparameter with ranges and when to change it (10). Hyperparameters carry minimums, maximums and defaults, status is a six-value enum and two fields are required, but the request allows additional properties and a free-form `extra_body` (11). Python and cURL examples with sample responses. The reference documents only a 422 validation response, and the guide disagrees with the spec on integrations (it lists only `wandb` as supported and omits the required `api_key`) (7). Paths are versioned `/v1` and the spec is date-stamped 20260930, with no public changelog found (5).", "security": "Bearer API keys created and deleted per project in the console, shown once. No scopes, expiry or rotation API found in the reviewed documentation (20). Project Admins and Members both have full access to the Files and Fine-tuning APIs, the Billing Manager group has no resource access, and there is no read-only role or confirmation step for deletes (5). Responses carry job state and the customer's own files, no third-party content (10). A usage view by project, service and product. No audit log for Token Factory API calls found (3). security.txt on nebius.com is valid until 31 December 2027, and the trust centre lists SOC 2 Type II, ISO 27001, 27701 and 42001 among others without naming Token Factory in scope. No bug bounty found (14). Hugging Face and Weights \u0026 Biases tokens travel in the job request body and are marked write-only in the spec.", "transparency": "Closed service under the Nebius Services Agreement and Token Factory Supplemental Terms, which name the contracting entity by region. The cookbook is MIT (18). The legal guide, DPA and terms agree that content is not used for training and that fine-tuning data is stored in the EU. Inputs and outputs are kept for speculative decoding unless Zero Data Retention is on, no retention period for datasets or checkpoints was found, and the terms allow deletion of tuned models at three days' notice (22). Dated deprecation notices for June and August 2026 name replacements for serverless models. No written minimum notice period found (10). A Token Factory sub-processor list dated 23 September 2026 gives each entity, role, location and transfer mechanism, with 15 days' notice of changes (20)." }, "sources": [ { "what": "docs index", "url": "https://docs.tokenfactory.nebius.com/llms.txt", "seen": "2026-10-08" }, { "what": "post-training overview", "url": "https://docs.tokenfactory.nebius.com/post-training/overview.md", "seen": "2026-10-08" }, { "what": "models for fine-tuning", "url": "https://docs.tokenfactory.nebius.com/post-training/models.md", "seen": "2026-10-08" }, { "what": "supervised fine-tuning guide", "url": "https://docs.tokenfactory.nebius.com/post-training/how-to-fine-tune.md", "seen": "2026-10-08" }, { "what": "dataset formats", "url": "https://docs.tokenfactory.nebius.com/post-training/datasets.md", "seen": "2026-10-08" }, { "what": "custom model weights (beta)", "url": "https://docs.tokenfactory.nebius.com/ai-models-inference/dedicated-endpoints/custom-weights.md", "seen": "2026-10-08" }, { "what": "older fine-tuning overview page", "url": "https://docs.tokenfactory.nebius.com/fine-tuning/overview.md", "seen": "2026-10-08" }, { "what": "OpenAPI file", "url": "https://api.tokenfactory.nebius.com/openapi.json", "seen": "2026-10-08" }, { "what": "API introduction and authentication", "url": "https://docs.tokenfactory.nebius.com/api-reference/introduction.md", "seen": "2026-10-08" }, { "what": "rate limits", "url": "https://docs.tokenfactory.nebius.com/ai-models-inference/rate-limits.md", "seen": "2026-10-08" }, { "what": "billing and trial credit", "url": "https://docs.tokenfactory.nebius.com/other-capabilities/billing-new.md", "seen": "2026-10-08" }, { "what": "dedicated endpoint billing policy", "url": "https://docs.tokenfactory.nebius.com/ai-models-inference/dedicated-endpoints/billing-policy.md", "seen": "2026-10-08" }, { "what": "groups and access", "url": "https://docs.tokenfactory.nebius.com/team-access/groups.md", "seen": "2026-10-08" }, { "what": "legal quick guide", "url": "https://docs.tokenfactory.nebius.com/legal/legal-quick-guide.md", "seen": "2026-10-08" }, { "what": "August 2026 deprecation notice", "url": "https://docs.tokenfactory.nebius.com/august-2026-deprecation-notice.md", "seen": "2026-10-08" }, { "what": "docs sitemap with modification dates", "url": "https://docs.tokenfactory.nebius.com/sitemap.xml", "seen": "2026-10-08" }, { "what": "public model catalogue", "url": "https://tokenfactory.nebius.com/api/public/models_info", "seen": "2026-10-08" }, { "what": "robots.txt of the console host", "url": "https://tokenfactory.nebius.com/robots.txt", "seen": "2026-10-08" }, { "what": "product page", "url": "https://nebius.com/services/token-factory/fine-tuning", "seen": "2026-10-08" }, { "what": "Nebius Services Agreement", "url": "https://docs.nebius.com/legal/agreement", "seen": "2026-10-08" }, { "what": "Token Factory Supplemental Terms", "url": "https://docs.nebius.com/legal/token-factory", "seen": "2026-10-08" }, { "what": "service level agreement", "url": "https://docs.nebius.com/legal/sla", "seen": "2026-10-08" }, { "what": "privacy policy", "url": "https://docs.nebius.com/legal/privacy", "seen": "2026-10-08" }, { "what": "Token Factory sub-processors", "url": "https://docs.nebius.com/legal/sub-processors_tofa", "seen": "2026-10-08" }, { "what": "status page incidents", "url": "https://status.nebius.com/api/v2/incidents.json", "seen": "2026-10-08" }, { "what": "status page components", "url": "https://status.nebius.com/api/v2/components.json", "seen": "2026-10-08" }, { "what": "security.txt", "url": "https://nebius.com/.well-known/security.txt", "seen": "2026-10-08" }, { "what": "trust centre", "url": "https://nebius.com/trust-center", "seen": "2026-10-08" }, { "what": "cookbook repository", "url": "https://github.com/nebius/token-factory-cookbook", "seen": "2026-10-08" }, { "what": "domain registration", "url": "https://rdap.verisign.com/com/v1/domain/nebius.com", "seen": "2026-10-08" } ], "openQuestions": [ "unchecked: the fine-tuning price list. The product page points to https://tokenfactory.nebius.com/organization/prices, which is drawn by script inside the console and disallowed by robots.txt, so Payments scores pricing as absent on our inability to read it.", "unchecked: GitHub stars and the issue tracker of nebius/token-factory-cookbook. The GitHub API refused the one request we made.", "Whether serverless LoRA deployment with per-token billing still exists. An older docs page and the product page describe it, the current models page says dedicated endpoints only, and the deployment guide returns 404.", "Whether the trust centre's SOC 2 and ISO certificates cover Token Factory. The legal guide says so in general terms and the trust centre page does not name the product.", "Whether failed or cancelled fine-tuning jobs are billed, and how many jobs can run at once, were not found in the reviewed documentation.", "The trust centre and product page were read through a summarising fetch. The product page wording on deployment was confirmed against the raw HTML.", "The lead's docs link (`fine-tuning/overview`) still loads but is an older page outside the docs index. The current section is `post-training/overview`." ] }, "negative": -2, "negativeNotes": [ "-2: on 2026-10-08 the product page said a fine-tuned model goes live with one click on 'serverless endpoints, on-demand GPU, or dedicated enterprise clusters', while the docs say deployment is by dedicated endpoints only and custom model weights are in beta on request, and the guide's deployment links return 404 (https://nebius.com/services/token-factory/fine-tuning, https://docs.tokenfactory.nebius.com/post-training/models.md)" ], "verdict": "Supervised fine-tuning on 49 open base models through OpenAI-style `/v1/fine_tuning/jobs` calls, with LoRA or full weights and every checkpoint file downloadable. No fine-tuning price was found outside the script-drawn console, and the docs say tuned models deploy only to dedicated endpoints, with custom weights in beta on request.", "bestFor": "Teams that want supervised LoRA or full fine-tuning of a wide list of open models, up to Qwen3 Coder 480B and DeepSeek, through OpenAI-style calls, with EU storage and the weights to take away.", "strengths": [ "49 base models listed, 42 with LoRA and full fine-tuning and 7 with full fine-tuning only, at context lengths from 8,192 to 131,072 tokens", "Checkpoint files download through `GET /v1/files/{file_id}/content`, and an `hf` integration pushes the result to a Hugging Face repository", "A public OpenAPI 3.1 file covers the fine-tuning, files, datasets and operations paths, with ranges on every hyperparameter", "The legal guide says content is not used to train models and that customers own the models they fine-tune", "A dated sub-processor list for Token Factory, with 15 days' notice of changes, and a valid security.txt on nebius.com" ], "weaknesses": [ "No fine-tuning price found in the docs or the public catalogue JSON. The price page is a script-drawn console page that robots.txt disallows", "The models page says deployment is by dedicated endpoints only, and custom model weights are in beta and available on request", "A bank card is mandatory at onboarding, so the $1 trial credit (30 days) is not a card-free trial", "Two major incidents tagged Token Factory in 90 days, 93 minutes on 27 July and about 21.5 hours in us-central1 from 19 August 2026", "No public changelog, no idempotency key on job creation and only a 422 response documented in the reference", "The Services Agreement (clause 4.1.10) forbids competitive analysis or benchmarking" ], "agentNotes": [ "Use the OpenAI client with `base_url` `https://api.tokenfactory.nebius.com/v1/` and `NEBIUS_API_KEY`. Upload JSONL with `purpose=fine-tune`, then create the job.", "Set `hyperparameters.lora` to true for an adapter. The default is false, which runs full fine-tuning.", "Poll `GET /v1/fine_tuning/jobs/{job_id}` no faster than every 15 seconds. There is no idempotency key, so list jobs before recreating one after a timeout.", "Download every ID in a checkpoint's `result_files` before relying on hosted copies. The terms allow deletion of tuned models at three days' notice.", "The spec requires `wandb.api_key` although the guide omits it, and it also accepts `mlflow` and `hf` integrations. Check the price in the console before starting a job." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 47.7 } ], "editorialScores": { "ergonomics": 51, "maintenance": 61, "payments": 0, "reliability": 45, "schema": 68, "security": 52, "transparency": 70 }, "provenanceScore": 88 }, "connect": { "install": "pip3 install --upgrade openai", "http": "curl 'https://api.tokenfactory.nebius.com/v1/fine_tuning/jobs' \\\n -X POST \\\n -H 'Accept: application/json' \\\n -H 'Content-Type: application/json' \\\n -H \"Authorization: Bearer $NEBIUS_API_KEY\" \\\n -d '{\"model\":\"meta-llama/Llama-3.1-8B-Instruct\",\"suffix\":\"my-domain-adapter\",\"training_file\":\"\u003ctraining_file_ID\u003e\",\"hyperparameters\":{\"n_epochs\":3,\"lora\":true,\"lora_r\":16,\"lora_alpha\":16}}'" }, "letme": { "capability": "https://letme.dev/finetune.sft", "tool": "https://letme.dev/nebius-token-factory-fine-tuning" }, "sameCompany": [ "nebius-ai-cloud" ], "notable": [ "The models page lists 49 base models (DeepSeek V3 and V4 Flash, Gemma 4, gpt-oss 20B and 120B, Qwen2.5, Qwen3, Qwen3.5 and Qwen3.6, Llama 3.1 to 3.3) and ends 'Deployment options currently only include via Dedicated endpoints' (https://docs.tokenfactory.nebius.com/post-training/models.md)", "Custom model weights are 'currently in beta and available on request' through the support team (https://docs.tokenfactory.nebius.com/ai-models-inference/dedicated-endpoints/custom-weights.md)", "The fine-tuning guide links to `post-training/deploy-custom-model` and `fine-tuning/deploy-custom-model` for deployment, and both returned 404 on 8 October 2026. An older page at `fine-tuning/overview`, absent from llms.txt, still describes serverless LoRA deployment with per-token billing (https://docs.tokenfactory.nebius.com/post-training/how-to-fine-tune.md)", "The post-training overview lists supervised fine-tuning and custom speculator training, and names reinforcement fine-tuning as an upcoming limited professional service on request (https://docs.tokenfactory.nebius.com/post-training/overview.md)", "Fine-tuning datasets, artefacts and model outputs are stored only in EU data centres. Jobs from EU users run in the EU and jobs from US users in the US, with no region choice (https://docs.tokenfactory.nebius.com/legal/legal-quick-guide.md)", "The Token Factory Supplemental Terms (effective 15 September 2026) let Nebius delete a customer's fine-tuned model at three days' written notice and cap how many can be in use (https://docs.nebius.com/legal/token-factory)", "Clause 4.1.10 of the Nebius Services Agreement (effective 28 September 2026) forbids use of the services to 'engage in competitive analysis or benchmarking' (https://docs.nebius.com/legal/agreement)", "Dataset files are JSONL in conversational, instruction, text or pre-tokenised form, up to 20GB through the Files API and 50GB through Data Lab (https://docs.tokenfactory.nebius.com/post-training/datasets.md)" ], "area": "models", "details": [ { "label": "Methods", "value": "Supervised fine-tuning, LoRA or full weights, and custom speculator (`spec-draft`) training. Jobs can continue from a checkpoint or a Hugging Face repository (`from_checkpoint`). Reinforcement fine-tuning is a professional service on request" }, { "label": "Base models", "value": "49 listed. 42 take LoRA and full fine-tuning, 7 (DeepSeek, Gemma 4, Qwen3.5 27B, Qwen3.6 27B) full fine-tuning only" }, { "label": "Context length", "value": "8,192 by default, up to 131,072 tokens" }, { "label": "Weights", "value": "Yes. Each checkpoint lists `result_files` to download through the Files API, and an `hf` integration exports to a Hugging Face repository" }, { "label": "Serving", "value": "Dedicated endpoints only, per the models page. Custom model weights are in beta and available on request" }, { "label": "Data", "value": "JSONL in conversational, instruction, text or pre-tokenised form. 20GB through the Files API, 50GB through Data Lab. 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