mlx-examples

mirror of https://github.com/ml-explore/mlx-examples.git synced 2025-10-24 14:38:09 +08:00

Files

Awni Hannun 6731254e76 Use fast rope (#945 )

* use fast rope

* fix llama

* use fast rope for llama3.1

* requires unreleased mlx

* fix su

* fix deepseek v2

* only one of base or freqs

* nit

* fix

* hard code freqs

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examples

Example of response generation with optional arguments (#853 )

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models

Use fast rope (#945 )

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tuner

fine tune deepseek (#932 )

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__init__.py

mlx_lm: Add Streaming Capability to Generate Function (#807 )

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convert.py

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

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fuse.py

Allow the entire model to be targed for LoRA and DoRA fine tuning: LoRA and DoRA embeddings with small DoRALinear bug fix (#914 )

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generate.py

Handle longer prompt/generation (#931 )

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gguf.py

Whisper updates to allow HF models (#923 )

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LORA.md

Configuration-based use of HF hub-hosted datasets for training (#701 )

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lora.py

Pass use_dora parameter to linear_to_lora_layers (#885 )

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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 )

2024-01-30 21:17:38 -08:00

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

Adapters loading (#902 )

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server.py

Predict stop sequence matches during streaming (#541 )

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tokenizer_utils.py

fix yi (#852 )

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UPLOAD.md

Mlx llm package (#301 )

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utils.py

Handle longer prompt/generation (#931 )

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version.py

Use fast rope (#945 )

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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.