mlx-examples

mirror of https://github.com/ml-explore/mlx-examples.git synced 2025-10-23 22:18:06 +08:00

Files

madroid d1d480867b LoRA: update tools datasets docs (#1063 )

* LoRA: update tools datasets docs

* nits

* nits

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Co-authored-by: Awni Hannun <awni@apple.com>

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examples

More cache improvements (#1015 )

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models

override dtype with quant (#1062 )

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tuner

Feature: QDoRA (#891 )

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__init__.py

Make sure to import the correct "version" module when installing mlx_whisper and mlx_lm from local source code. (#969 )

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_version.py

More cache improvements (#1015 )

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cache_prompt.py

More cache improvements (#1015 )

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chat.py

More cache improvements (#1015 )

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convert.py

override dtype with quant (#1062 )

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fuse.py

Adding full finetuning (#903 )

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generate.py

More cache improvements (#1015 )

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gguf.py

Fix export to gguf (#993 )

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LORA.md

LoRA: update tools datasets docs (#1063 )

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lora.py

LoRA: Support HuggingFace dataset via data parameter (#996 )

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MANAGE.md

Add model management functionality for local caches (#736 )

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manage.py

Add model management functionality for local caches (#736 )

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MERGE.md

Create executables for generate, lora, server, merge, convert (#682 )

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merge.py

Create executables for generate, lora, server, merge, convert (#682 )

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py.typed

Add py.typed to support PEP-561 (type-hinting) (#389 )

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README.md

feat: move lora into mlx-lm (#337 )

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requirements.txt

Use fast rope (#945 )

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sample_utils.py

Min P implementation (#926 )

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SERVER.md

Prompt caching in mlx_lm.server (#1026 )

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server.py

Prompt caching in mlx_lm.server (#1026 )

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tokenizer_utils.py

Handle empty string case in maybe_trim_space (#1055 )

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UPLOAD.md

Mlx llm package (#301 )

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utils.py

override dtype with quant (#1062 )

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README.md

Generate Text with MLX and 🤗 Hugging Face

This an example of large language model text generation that can pull models from the Hugging Face Hub.

For more information on this example, see the README in the parent directory.

This package also supports fine tuning with LoRA or QLoRA. For more information see the LoRA documentation.