poolside/Laguna-M.1
text-generation model by poolside
From the publisher
Model card & documentation
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Get an API key · Release blog post · Technical report Laguna M.1 is a 225B total parameter Mixture-of-Experts model with 23B activated parameters per token designed for agentic coding and long-horizon work. We used the highest publicly-referenced scores for all comparison models across each benchmark. In almost all cases these were official scores published in release blog posts or equivalent, with Claude Sonnet 4.6 shown as a frontier proprietary reference of comparable model size. “-” indicates a score not reported by the model provider. Laguna M.1 has upstream support in vLLM, SGLang, and Transformers, and TRT-LLM thanks to the support of the team at NVIDIA. pool is a lightweight terminal-based coding agent and a dual Agent Client Protocol client-server. Download and install for macOS and Linux: Launch and Log in with Poolside to get a free API key. Use in any ACP client. Configure Zed and JetBrains automatically: Submit…
Read the full model card ↗ · Preview checked 2026-10-29T07:03:44.746Z
Inside the original model card — Document outline
- Laguna M.1
- Highlights
- Model overview
- Benchmark results
- Usage
- pool
- Feedback and issues
- Deployment
- vLLM
- SGLang
- Transformers
- TRT-LLM
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
poolside/Laguna-M.1 is a text-generation model repository published by poolside on Hugging Face. The source reports the vllm library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- vllm
- Recent downloads (30 days)
- 983,518
- Cumulative likes
- 149
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 225,795,725,568
- Architecture
- LagunaForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-06-15T09:17:53.000Z
- Last modified
- 2026-07-14T08:33:26.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:29.042Z. Daily imports are snapshots, not real-time monitoring.
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