Instructions to use logicless/qwen25-coder-3b-markdown-reliability-lora-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use logicless/qwen25-coder-3b-markdown-reliability-lora-mlx with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("logicless/qwen25-coder-3b-markdown-reliability-lora-mlx") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use logicless/qwen25-coder-3b-markdown-reliability-lora-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "logicless/qwen25-coder-3b-markdown-reliability-lora-mlx" --prompt "Once upon a time"
- Atomic Chat
Commit History
21 days ago
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Add a concrete contract example
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Clarify external benchmark attribution
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Add final evaluation and training results
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Add frozen experiment configurations
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Publish final Run 2 MLX LoRA adapter
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initial commit
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