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lschaffer/qwen2_5_1_5b-filesystem
qwen2_5_1_5b-filesystem is a text generation model from lschaffer. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
⚠️ This model is trained for the filesystem MCP server. It is optimised for structured MCP tool-call generation and is not intended to be a general-purpose assistant.
Downloads · 30 days
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From the Hugging Face model README
⚠️ This model is trained for the filesystem MCP server. It is optimised for structured MCP tool-call generation and is not intended to be a general-purpose assistant.
GGUF model fine-tuned for structured MCP tool-calling, ready for local inference via Ollama.
| Property | Value |
|---|---|
| MCP server | filesystem |
| Base model (training) | mlx-community/Qwen2.5-1.5B-Instruct-4bit |
| Base model (fused export) | Qwen/Qwen2.5-1.5B-Instruct |
| Fine-tune method | QLoRA / LoRA adapter fusion |
| Quantization | Q5_K_M (5-bit, recommended) |
| GGUF file | qwen25-1p5b-filesystem-q5_k_m.gguf |
| Preset | qwen2_5_1_5b |
Intended for agents or apps that call the filesystem MCP server.
The model was trained on a custom MCP tool-call JSONL dataset derived from the server's tool schema. It is intended to emit structured JSON tool calls for that server and is not suited for general chat.
ollama pull qwen25-1p5b-filesystem
ollama run qwen25-1p5b-filesystem
```bash
curl -L -o qwen25-1p5b-filesystem-q5_k_m.gguf https://huggingface.co/lschaffer/qwen2_5_1_5b-filesystem/resolve/main/qwen25-1p5b-filesystem-q5_k_m.gguf curl -L -o Modelfile https://huggingface.co/lschaffer/qwen2_5_1_5b-filesystem/resolve/main/Modelfile
ollama create qwen25-1p5b-filesystem -f Modelfile
ollama run qwen25-1p5b-filesystem ```
Important: The `Modelfile` contains the required TEMPLATE directive for tool support. Registering the GGUF without the Modelfile will result in "does not support tools" errors.
qwen25-1p5b-filesystem-q5_k_m.ggufModelfile — Ollama model definition with system promptProduced via LoRA fine-tuning on Mac Apple Silicon (MLX), adapter fusion, and llama.cpp GGUF conversion. See the training guide for full pipeline details.