Comments (1)
That would be super cool but itβs somewhat beyond the scope of the repo. Would love to see a community lead project that does that though!
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Related Issues (20)
- Error when running inference on newly converted OpenELM MLX model, ValueError(f"Received parameters not in model: {extras}.") HOT 1
- LLMEvaluator : libc++abi: terminating due to uncaught exception of type std::invalid_argument: [matmul] Last dimension of first input with shape (1,916,2048) must match second to last dimension of second input with shape (256,32000)
- Unable to allocate memory
- Proposal: Add mypy to .pre-commit-config.yml HOT 2
- Fusing adapters with llama3 cause bad performances HOT 7
- Struggling to convert models to MLX HOT 2
- mlx_lm stops generating HOT 1
- lora resume error HOT 2
- Error loading GGUF Mixtral 8x7B Q_8 model HOT 1
- iterate_batches in mlx_lm's Lora trainer is discarding the remainder dataset items (modulo batch size) HOT 1
- 01-ai/Yi-6B-Chat got IndexError: list assignment index out of range HOT 2
- [Feature Request] Finetuning Scripts for Whisper Models HOT 1
- Feature Request - Beam Search Decoder
- Discrepancies in generations from the fine tuned models after and before converting them into GGUF. The output generations go into an infinite loop. HOT 12
- NameError: name 'resume_adapter_file' is not defined HOT 1
- Received parameters not in model: {extras}. HOT 1
- support for Gemma 2 HOT 1
- Model type deepseek_v2 not supported. HOT 18
- [Feature Request] Supports fine-tuning of Vision models HOT 1
- Feature Request - Generate function, which returns response and logprobs for the response? HOT 2
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