mlx-examples

mirror of https://github.com/ml-explore/mlx-examples.git synced 2025-10-23 14:08:07 +08:00

Files

Alex Wozniakowski 63800c8feb Example of response generation with optional arguments (#853 )

* Generate response with optional arguments

* Reference response generation example

* Include transformers and sentencepiece

* Update example to run Mistral-7B-Instruct-v0.3

* Link to generation example

* Style changes from pre-commit

2024-07-09 06:49:59 -07:00

examples

Example of response generation with optional arguments (#853 )

2024-07-09 06:49:59 -07:00

models

Fix server for openai package (#877 )

2024-07-08 12:34:31 -07:00

tuner

gemma2 (#855 )

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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

Block sparse MM MoEs (#782 )

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generate.py

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

2024-06-03 09:04:39 -07:00

gguf.py

fix(mlx-lm): type hints in gguf.py (#621 )

2024-03-26 07:56:01 -07:00

LORA.md

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

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lora.py

Fixing "NameError: name 'resume_adapter_file' is not defined" (#817 )

2024-06-05 10:07:31 -07:00

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 )

2024-04-16 16:08:49 -07:00

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 )

2024-01-23 08:44:37 -08:00

requirements.txt

Example of response generation with optional arguments (#853 )

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sample_utils.py

Use async eval (#670 )

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SERVER.md

Logprobs info to completion API (#806 )

2024-06-23 10:35:13 -07:00

server.py

Fix server for openai package (#877 )

2024-07-08 12:34:31 -07:00

tokenizer_utils.py

fix yi (#852 )

2024-06-27 06:38:19 -07:00

UPLOAD.md

Mlx llm package (#301 )

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utils.py

Add recurrent gemma (#856 )

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version.py

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

2024-06-26 10:20:50 -07:00

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.