Update docs and add agent guide - #119
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iamleonie
commented
Aug 4, 2026
iamleonie
commented
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- Add LFM2.5-2.6B docs
- Add Agent harness guide
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mlabonne
reviewed
Aug 4, 2026
| | [LFM2.5-1.2B-JP](/lfm/models/lfm25-1.2b-jp) | LFM2.5 (Latest release) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-JP) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-JP-GGUF) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-JP-MLX-8bit) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-JP-ONNX) | Yes (TRL) | | ||
| | [LFM2.5-350M](/lfm/models/lfm25-350m) | LFM2.5 (Latest release) | [✓](https://huggingface.co/LiquidAI/LFM2.5-350M) | [✓](https://huggingface.co/LiquidAI/LFM2.5-350M-GGUF) | [✓](https://huggingface.co/LiquidAI/LFM2.5-350M-MLX-8bit) | [✓](https://huggingface.co/LiquidAI/LFM2.5-350M-ONNX) | Yes (TRL) | | ||
| | [LFM2.5-230M](/lfm/models/lfm25-230m) | LFM2.5 (Latest release) | [✓](https://huggingface.co/LiquidAI/LFM2.5-230M) | [✓](https://huggingface.co/LiquidAI/LFM2.5-230M-GGUF) | [✓](https://huggingface.co/LiquidAI/LFM2.5-230M-MLX-8bit) | [✓](https://huggingface.co/LiquidAI/LFM2.5-230M-ONNX) | Yes (TRL) | | ||
| | [LFM2.5-2.6B](/lfm/models/lfm25-2.6b) | LFM2.5 (Latest release) | [✓](https://huggingface.co/LiquidAI/LFM2.5-2.6B) | [✓](https://huggingface.co/LiquidAI/LFM2.5-2.6B-GGUF) | [✓](https://huggingface.co/LiquidAI/LFM2.5-2.6B-MLX-8bit) | [✓](https://huggingface.co/LiquidAI/LFM2.5-2.6B-ONNX) | Yes (TRL) | |
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| <div style={{display: 'flex', gap: '0.5rem', margin: '0.5rem 0 1.5rem 0'}}> | ||
| <a href="https://huggingface.co/LiquidAI/LFM2.5-2.6B" style={{padding: '0.35rem 0.7rem', borderRadius: '4px', fontSize: '0.85rem', fontWeight: 600, textDecoration: 'none', backgroundColor: '#fbbf24'}}><span style={{color: '#000'}}>HF</span></a> | ||
| <a href="https://huggingface.co/LiquidAI/LFM2.5-2.6B-GGUF" style={{padding: '0.35rem 0.7rem', borderRadius: '4px', fontSize: '0.85rem', fontWeight: 600, textDecoration: 'none', backgroundColor: '#60a5fa'}}><span style={{color: '#000'}}>GGUF</span></a> | ||
| <a href="https://huggingface.co/LiquidAI/LFM2.5-2.6B-MLX-8bit" style={{padding: '0.35rem 0.7rem', borderRadius: '4px', fontSize: '0.85rem', fontWeight: 600, textDecoration: 'none', backgroundColor: '#c4b5fd'}}><span style={{color: '#000'}}>MLX</span></a> |
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| `mlx_lm.server` exposes an OpenAI-compatible endpoint: | ||
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| ```bash | ||
| mlx_lm.server --model mlx-community/LFM2.5-2.6B-4bit --port 8080 |
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| ```bash | ||
| openclaw dashboard | ||
| ``` | ||
| This opens the Control UI in your browser, where you enter the task below. |
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We might want to remove "below" (there's nothing after this).
| **Context length**. Agents consume context quickly. If you hit truncation or context-overflow errors mid-run, raise the served | ||
| context or trim the agent's history. | ||
| LFM2.5-2.6B supports up to 128K tokens. The examples serve the full window, but if you're | ||
| memory-constrained, serve a smaller window, which is usually plenty for a single agent task. |
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Maybe we can add 32K tokens as an example here
mlabonne
approved these changes
Aug 4, 2026
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