Comments (1)
You can't run an MLX quantized model with Hugging Face Transformers unfortunately.
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Related Issues (20)
- Tokenizer with bos and eos token id sharing and "[WARNING] Example already has an EOS token appended" HOT 2
- install mlx-lm version 0.16.0 : ERROR: Could not find a version that satisfies the requirement mlx-lm==0.16.0 HOT 1
- [Model Request] Support DCLM-7B HOT 2
- rope_scaling errors when loading Llama-3.1-8B-Instruct HOT 11
- Allocation error when running generation script HOT 2
- [FeatureRequest] support FLUX.1 text to image model HOT 6
- [Feature Request] MLX_lm: Store KV cache of computed prompts to disk to avoid re-compute in follow-up runs HOT 1
- ValueError: "DoRALinear does not yet support quantization" after DoRA fine-tuning HOT 1
- Support example for SpeechT5 model?
- Feature Request: Implement Tool Calling for llama-3.1 in MLX-LM HOT 3
- Example of an async data-loader that automatically pre-fetches batches for training HOT 1
- How to use the Apple Neural Engine with MLX? HOT 1
- mlx_lm.fuse raises RuntimeError: std::bad_cast HOT 1
- [FeatureRequest] Support Qwen2-Audio model
- Optimal way of accumulating gradients? HOT 2
- [FeatureRequest] Support for prompt fine-tuning
- MLX_lm:generate() or stream_generate() how to setting system prompt and model config? HOT 2
- Generation fails after quantization for multi-part models HOT 4
- Update whisper/convert.py to save as safetensors instead of npz
- Performance tracing and tuning code
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