mlx-examples

mirror of https://github.com/ml-explore/mlx-examples.git synced 2025-12-16 02:08:55 +08:00

Files

Prince Canuma dc090f26df Update llms/mlx_lm/models/gemma3_text.py

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

2025-03-12 14:59:45 +01:00

examples

Adding multiple optimizers to mlx lm (#1315 )

2025-03-05 13:54:54 -08:00

models

Update llms/mlx_lm/models/gemma3_text.py

2025-03-12 14:59:45 +01:00

tuner

adding OLMoE architecture (#1321 )

2025-03-05 13:46:06 -08:00

__init__.py

Fix detokenizer space match for quote (#1072 )

2024-10-27 15:06:07 -07:00

_version.py

support kimi + more options in chat mode (#1312 )

2025-02-28 11:33:18 -08:00

cache_prompt.py

Fix prompt cache for models without chat template (#1250 )

2025-02-06 11:10:58 -08:00

chat.py

Change DEFAULT_SEED to None for stochastic generation by default (#1323 )

2025-03-06 06:49:35 -08:00

convert.py

fix mixed quant option (#1326 )

2025-03-07 08:35:48 -08:00

evaluate.py

Use max tokens from options in mlx_lm evaluate (#1302 )

2025-02-26 15:46:16 -08:00

fuse.py

Adding full finetuning (#903 )

2024-09-29 17:12:47 -07:00

generate.py

Change DEFAULT_SEED to None for stochastic generation by default (#1323 )

2025-03-06 06:49:35 -08:00

gguf.py

Fix export to gguf (#993 )

2024-09-20 13:33:45 -07:00

LORA.md

Completion only fine-tuning of instruction models with collections of HF datasets (#1103 )

2025-02-09 20:12:34 -08:00

lora.py

Adding multiple optimizers to mlx lm (#1315 )

2025-03-05 13:54:54 -08:00

MANAGE.md

Add model management functionality for local caches (#736 )

2024-05-03 12:20:13 -07:00

manage.py

fix manage for new transformers (#1304 )

2025-02-26 15:44:57 -08:00

MERGE.md

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

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

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

deepseek v3 model with pipeline parallelism (#1191 )

2025-01-09 15:55:53 -08:00

sample_utils.py

make_sampler creates sampler chain with all sampling parameters (#1330 )

2025-03-11 13:37:35 -07:00

SERVER.md

Fix object property value in mlx_lm.server chat completions response to match OpenAI spec (#1119 )

2024-11-24 16:37:37 -08:00

server.py

chore(mlx-lm): support text type content in messages (#1225 )

2025-01-27 17:13:50 -08:00

tokenizer_utils.py

Completion only fine-tuning of instruction models with collections of HF datasets (#1103 )

2025-02-09 20:12:34 -08:00

UPLOAD.md

Mlx llm package (#301 )

2024-01-12 10:25:56 -08:00

utils.py

support kimi + more options in chat mode (#1312 )

2025-02-28 11:33:18 -08:00

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.