Comments (7)
awni
commented on July 4, 2024
2
@danilopeixoto I've been thinking about having this in MLX LM recently. Any interest in sending a PR?
It might make to do it after we have a more manageable config (#503) but that should be landed soon!
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ivanfioravanti
commented on July 4, 2024
1
This would be an awesome addition to mlx_examples! 🔥
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N8python
commented on July 4, 2024
1
I'm very very excited for this! Don't have the technical expertise to implement the DPO directly but would love to help in other ways (config, code cleanup) if neccessary!
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kishoretvk
commented on July 4, 2024
1
+500 waiting for this
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developerlin
commented on July 4, 2024
1
Wait for this, when will the DPO training be supported?
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awni
commented on July 4, 2024
To be more concrete, I'm envisioning you just set the loss in the config. e.g. cross_entropy or dpo
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lin72h
commented on July 4, 2024
That makes MLX really useful for production not just a research tool!
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Related Issues (20)
- [Feature Request] Add support for logprobs to the mlx_lm server HOT 3
- Request for Example on Full Parameter and Training for LLM Model HOT 5
- Phi-3 128K Context Variants' `su` RoPE Scaling HOT 12
- [REGRESSION] Some MoE models display 0% GPU utilization with mlx-ops 0.14.0 HOT 3
- I would like to inquire about a solution to the following problem. HOT 1
- link to Phi-2 example in readme broken HOT 1
- SPMStreamingDetokenizer sometimes outputs incorrect multi-byte characters HOT 1
- Why change the module decomposition of whisper HOT 3
- A simple enhancement, in dataset creation time HOT 1
- [Question]about creating the 'adapters.npz' file HOT 3
- [QUESTION] Is there a way to provide a Huggingface access token for downloading models that are private? HOT 1
- [Model Request] Add support for IBM's Granite model HOT 2
- [Feature] Export Lora Adapters as GGML HOT 3
- 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
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