Comments (5)
awni
commented on September 22, 2024
Is this for the Phi2 example? I did not need to install flash_attn for that, that is very strange...
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bruse
commented on September 22, 2024
Yes, sorry I should have been more clear in the body. I just put it in the title.
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awni
commented on September 22, 2024
Maybe it's a transformers version problem. Can you do (in your phi2 env):
pip list | grep transformers
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bruse
commented on September 22, 2024
transformers 4.18.0
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bruse
commented on September 22, 2024
pip install --upgrade transformers did indeed fix it. Thank you, and sorry for my poor environment.
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Related Issues (20)
- Support for nanogpt (and gpt-j)
- Tokenizer with bos and eos token id sharing and "[WARNING] Example already has an EOS token appended" HOT 3
- 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 4
- [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
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