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examples
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Example of response generation with optional arguments (#853)
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2024-07-09 06:49:59 -07:00 |
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models
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Add support for deepseek coder v2 lite (#882)
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2024-07-17 07:23:28 -07:00 |
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tuner
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Add GPT-neox model (#863)
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2024-07-11 06:13:17 -07:00 |
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__init__.py
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mlx_lm: Add Streaming Capability to Generate Function (#807)
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2024-06-03 09:04:39 -07:00 |
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convert.py
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Create executables for generate, lora, server, merge, convert (#682)
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2024-04-16 16:08:49 -07:00 |
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fuse.py
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Block sparse MM MoEs (#782)
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2024-05-21 15:58:08 -07:00 |
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generate.py
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mlx_lm: Add Streaming Capability to Generate Function (#807)
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2024-06-03 09:04:39 -07:00 |
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gguf.py
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fix(mlx-lm): type hints in gguf.py (#621)
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2024-03-26 07:56:01 -07:00 |
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LORA.md
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Configuration-based use of HF hub-hosted datasets for training (#701)
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2024-06-26 10:20:50 -07:00 |
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lora.py
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Pass use_dora parameter to linear_to_lora_layers (#885)
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2024-07-11 14:34:34 -07:00 |
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MANAGE.md
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Add model management functionality for local caches (#736)
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2024-05-03 12:20:13 -07:00 |
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manage.py
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Add model management functionality for local caches (#736)
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2024-05-03 12:20:13 -07:00 |
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MERGE.md
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Create executables for generate, lora, server, merge, convert (#682)
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2024-04-16 16:08:49 -07:00 |
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merge.py
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Create executables for generate, lora, server, merge, convert (#682)
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2024-04-16 16:08:49 -07:00 |
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py.typed
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Add py.typed to support PEP-561 (type-hinting) (#389)
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2024-01-30 21:17:38 -08:00 |
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README.md
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feat: move lora into mlx-lm (#337)
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2024-01-23 08:44:37 -08:00 |
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requirements.txt
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Example of response generation with optional arguments (#853)
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2024-07-09 06:49:59 -07:00 |
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sample_utils.py
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Use async eval (#670)
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2024-04-11 13:18:23 -07:00 |
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SERVER.md
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Logprobs info to completion API (#806)
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2024-06-23 10:35:13 -07:00 |
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server.py
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keep the server in a valid state (#889)
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2024-07-15 18:35:36 -07:00 |
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tokenizer_utils.py
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fix yi (#852)
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2024-06-27 06:38:19 -07:00 |
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UPLOAD.md
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Mlx llm package (#301)
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2024-01-12 10:25:56 -08:00 |
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utils.py
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Add recurrent gemma (#856)
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2024-07-07 12:10:04 -07:00 |
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version.py
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Configuration-based use of HF hub-hosted datasets for training (#701)
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2024-06-26 10:20:50 -07:00 |