Add Laguna M.1 model#1415
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Models like Poolside Laguna M.1 emit <tool_call>name\n<arg_key>..., so the parser captured the name up to <arg_key> including the trailing newline (e.g. "get_weather\n"), breaking tool dispatch in OpenAI-compatible clients.
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Adds MLX support for Poolside Laguna M.1 (Apache 2.0), a 225B-total / 23B-active MoE for agentic coding.
mlx_lm/models/laguna.pyimplements:e_score_correction_bias), viaSwitchGLU; first 3 layers dense SwiGLU, remaining 67 sparse.g_proj), RoPE + YaRN.sanitize()handles the original HF layout: FP8 (compressed-tensors) dequant,e_score_correction_biasremap, per-expert →SwitchGLUstacking.quant_predicatekeeps the router gate full-precision.Tested end-to-end: converted from
poolside/Laguna-M.1-FP8and ran a 3-bit build locally on an M3 Max 128 GB (~26 tok/s, ~100 GB peak). Quantized MLX weights: ox-ox/Laguna-M.1-MLX-Q3.