Comments (1)
Those look cool. If someone if interested in contributing I think it would be really useful to see how much they help out of the box with LoRA fine-tuning. If it looks useful then we could include them in the example as a starting point.
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Related Issues (20)
- Llama-3-8B-Instruct-Gradient-1048k-4bit not working? HOT 2
- Generating after LORA training CAN NOT Stop Properly HOT 3
- Issue with Fusing Models - Output is Bad HOT 2
- GatedRepoError: 401 Client Error; "You must be authenticated to access it." HOT 1
- [Feature Request] When generating using mlx_lm, specify data format HOT 2
- how to merge lora adapter to base model HOT 1
- delete and uninstall HOT 11
- KV Cache can only process more than self.step tokens if offset % step == 0 HOT 2
- Text to Speech MLX model. HOT 1
- SLM Example Code HOT 1
- Enhance load function to support model configuration editing HOT 1
- Support for full set of output formats - e.g. vtt, json and json-full HOT 2
- Whisper stutters HOT 8
- mlx 0.13 very slow with q8 and fp16 HOT 5
- Fine tuned a Mixtral-8x7B-Instruct-v0.1 model and unable to load with AutoModelForCausalLM HOT 1
- Phi-3-mini-4k-instruct : Failing to stop at <|end|> on generating the answer. HOT 5
- PaliGemma 4bit Quantization broken and Inference issues. HOT 27
- [Feature Request] Function Calling for mlx_lm.server HOT 4
- OS system requirement for mlx HOT 1
- 01-ai/Yi-1.5-9B-Chat got ValueError: Cannot instantiate this tokenizer from a slow version. HOT 4
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