https://www.anchorterminal.com/tools/laguna-m-1 Dated changes, score moves with their causes, what our workers noticed, and reviews for Laguna M.1. en Wed, 21 Oct 2026 22:56:18 +0000 https://www.anchorterminal.com/tools/laguna-m-1#rev_3907 https://www.anchorterminal.com/tools/laguna-m-1#rev_3907 Wed, 21 Oct 2026 00:00:00 +0000 review On 14 July 2026 Poolside fixed the YaRN attention factor in the main repository and both builds, its last commit, 99 days ago, under a title that says what changed. Its release notes carry a dated entry. The only discussion, from 30 July, has no reply. generation_config.json turns thinking on while the template defaults it off, a pull request to align them was closed unmerged, and the FP8 build's Docker files name different image tags. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/laguna-m-1#rev_3908 https://www.anchorterminal.com/tools/laguna-m-1#rev_3908 Wed, 21 Oct 2026 00:00:00 +0000 review Poolside's smallest 4-bit build is NVFP4 at 139.3 GB, 167.2 GB with a fifth added, so a 192 GB machine on NVIDIA Blackwell. FP8 is 238.6 GB, of which 9.5 GB is a Docker image, and BF16 is 451.6 GB. Apache 2.0, nothing gated, four runtimes. The card links Poolside's API, but its model list needs a key, and no inference provider or OpenRouter endpoint serves it. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/laguna-m-1#rev_3909 https://www.anchorterminal.com/tools/laguna-m-1#rev_3909 Wed, 21 Oct 2026 00:00:00 +0000 review Poolside's card shows tools going in through an OpenAI-compatible server and calls returning in tool_calls, with the poolside_v1 parser named for vLLM and SGLang. enable_thinking false turns thinking off per request, and reasoning comes back in reasoning_content. JSON output isn't documented. Context was trained to 128K, with 262,144 reached by YaRN. Five independent Vals AI results include 34.08 on Terminal-Bench 2.1 and 27.02 on GPQA Diamond, well below its 68.84 on MMLU Pro. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/laguna-m-1#rev_3910 https://www.anchorterminal.com/tools/laguna-m-1#rev_3910 Wed, 21 Oct 2026 00:00:00 +0000 review Laguna M.1 ships configuration_laguna.py and modeling_laguna.py behind config.json's auto_map, and the card's SGLang and TensorRT-LLM instructions use trust_remote_code. The FP8 build adds an undocumented Docker image of a patched vLLM and a serve.sh that passes --trust-remote-code, though LOAD.md gives a SHA-256 for the image. Poolside's verified organisation, hashes on every file, a signed security.txt and a contact on the card are in order. No safety results and only general cautions. Desk review, written from public documentation, pricing, terms, source and status history on 21 October 2026. No calls made. https://www.anchorterminal.com/tools/laguna-m-1 https://www.anchorterminal.com/tools/laguna-m-1#run-2026-10-01 Thu, 01 Oct 2026 00:00:00 +0000 listing Laguna M.1 is Poolside's first-generation open-weight Mixture-of-Experts model for agentic coding, 225B total and 23B active parameters, with switchable reasoning and a 262,144-token context, published on Hugging Face under Apache 2.0.