MCPcopy Create free account

hub / github.com/ml-explore/mlx-lm / functions

Functions2,622 in github.com/ml-explore/mlx-lm

Methodlayers
(self)
mlx_lm/models/qwen3_5.py:519
Methodlayers
(self)
mlx_lm/models/rwkv7.py:435
Methodlayers
(self)
mlx_lm/models/llama.py:263
Methodlayers
(self)
mlx_lm/models/minicpm3.py:250
Methodlayers
(self)
mlx_lm/models/granitemoe.py:234
Methodlayers
(self)
mlx_lm/models/dbrx.py:232
Methodlayers
(self)
mlx_lm/models/ernie4_5_moe.py:260
Methodlayers
(self)
mlx_lm/models/lfm2.py:309
Methodlayers
(self)
mlx_lm/models/qwen2_moe.py:237
Methodlayers
(self)
mlx_lm/models/stablelm.py:208
Methodlayers
(self)
mlx_lm/models/olmo3.py:226
Methodlayers
(self)
mlx_lm/models/exaone.py:164
Methodlayers
(self)
mlx_lm/models/olmo2.py:208
Methodlayers
(self)
mlx_lm/models/gemma3.py:59
Methodlayers
(self)
mlx_lm/models/deepseek_v3.py:545
Methodlayers
(self)
mlx_lm/models/gemma2.py:204
Methodlayers
(self)
mlx_lm/models/baichuan_m1.py:250
Methodlayers
(self)
mlx_lm/models/gemma4.py:84
Methodlayers
(self)
mlx_lm/models/iquestloopcoder.py:280
Methodlayers
(self)
mlx_lm/models/kimi_vl.py:108
Methodlayers
(self)
mlx_lm/models/llama4.py:314
Methodlayers
(self)
mlx_lm/models/deepseek_v32.py:643
Methodlayers
(self)
mlx_lm/models/dots1.py:315
Methodlayers
(self)
mlx_lm/models/starcoder2.py:165
Methodlayers
(self)
mlx_lm/models/qwen2_vl.py:57
Methodlayers
(self)
mlx_lm/models/gemma3_text.py:244
Methodlayers
(self)
mlx_lm/models/mamba.py:214
Methodlayers
(self)
mlx_lm/models/ministral3.py:322
Methodlayers
(self)
mlx_lm/models/seed_oss.py:183
Methodlayers
(self)
mlx_lm/models/apertus.py:194
Methodlayers
(self)
mlx_lm/models/hunyuan_v1_dense.py:225
Methodlayers
(self)
mlx_lm/models/Klear.py:246
Methodlayers
(self)
mlx_lm/models/cohere.py:192
Methodlayers
(self)
mlx_lm/models/falcon_h1.py:503
Methodlayers
(self)
mlx_lm/models/granitemoehybrid.py:492
Methodlayers
(self)
mlx_lm/models/mixtral.py:227
Methodlayers
(self)
mlx_lm/models/gpt_bigcode.py:184
Methodlayers
(self)
mlx_lm/models/phi.py:173
Methodlayers
(self)
mlx_lm/models/mistral3.py:57
Methodlayers
(self)
mlx_lm/models/qwen3_vl.py:56
Methodlayers
(self)
mlx_lm/models/lille-130m.py:151
Methodlayers
(self)
mlx_lm/models/hunyuan.py:333
Methodlayers
(self)
mlx_lm/models/phi3small.py:303
Methodlayers
(self)
mlx_lm/models/nanochat.py:232
Methodlayers
(self)
mlx_lm/models/gpt_neox.py:224
Methodlayers
(self)
mlx_lm/models/nemotron-nas.py:391
Methodlayers
(self)
mlx_lm/models/glm.py:187
Methodlayers
(self)
mlx_lm/models/youtu_llm.py:238
Methodlayers
(self)
mlx_lm/models/deepseek.py:258
Methodlayers
(self)
mlx_lm/models/glm4.py:180
Methodlayers
(self)
mlx_lm/models/mimo.py:193
Methodlayers
(self)
mlx_lm/models/qwen3.py:222
Methodlayers
(self)
mlx_lm/models/jamba.py:375
Methodlayers
(self)
mlx_lm/models/bailing_moe.py:400
Methodlayers
(self)
mlx_lm/models/mamba2.py:257
Methodlayers
(self)
mlx_lm/models/gemma3n.py:609
Methodlayers
(self)
mlx_lm/models/bitnet.py:207
Methodlayers
(self)
mlx_lm/models/longcat_flash_ngram.py:189
Methodlayers
(self)
mlx_lm/models/longcat_flash.py:372
Methodlayers
(self)
mlx_lm/models/internlm3.py:237
Methodlayers
(self)
mlx_lm/models/phimoe.py:209
Methodlayers
(self)
mlx_lm/models/afmoe.py:378
Methodlayers
(self)
mlx_lm/models/deepseek_v2.py:500
Methodlayers
(self)
mlx_lm/models/internlm2.py:237
Methodlayers
(self)
mlx_lm/models/olmo.py:176
Methodlayers
(self)
mlx_lm/models/qwen.py:156
Methodlayers
(self)
mlx_lm/models/olmoe.py:213
Methodlayers
(self)
mlx_lm/models/pixtral.py:50
Methodlayers
(self)
mlx_lm/models/nemotron.py:215
Methodlayers
(self)
mlx_lm/models/phi3.py:212
Methodlayers
(self)
mlx_lm/models/helium.py:182
Methodlayers
(self)
mlx_lm/models/qwen3_vl_moe.py:76
Methodlayers
(self)
mlx_lm/models/nemotron_h.py:526
Methodlayers
(self)
mlx_lm/models/llama4_text.py:181
Methodlayers
(self)
mlx_lm/models/exaone4.py:219
Functionload
Load a huggingface tokenizer and try to infer the type of streaming detokenizer to use. Note, to use a fast streaming tokenizer, pass a local
mlx_lm/tokenizer_utils.py:578
Functionload_adapters
Load any fine-tuned adapters / layers. Args: model (nn.Module): The neural network model. adapter_path (str): Path to the ad
mlx_lm/tuner/utils.py:113
Methodload_default
(self)
tests/test_server.py:71
Functionlogit_bias_processor
(_, logits)
mlx_lm/sample_utils.py:111
Methodlogits_processor
(toks, logits)
tests/test_generate.py:71
Methodloglikelihood
Compute log-likelihood of generating a continuation from a context. Downstream tasks should attempt to use loglikelihood instead of other
mlx_lm/evaluate.py:152
Functionloss_fn
(batch, targets)
mlx_lm/quant/dynamic_quant.py:65
Functionmain
()
mlx_lm/cli.py:7
Functionmain
()
mlx_lm/share.py:211
Functionmain
()
mlx_lm/evaluate.py:397
Functionmain
()
mlx_lm/upload.py:8
Functionmain
()
mlx_lm/quant/dwq.py:242
Functionmain
()
mlx_lm/quant/awq.py:533
Methodmake_cache
(self)
mlx_lm/models/gpt_oss.py:336
Methodmake_cache
(self)
mlx_lm/models/cohere2.py:201
Methodmake_cache
(self)
mlx_lm/models/qwen3_next.py:449
Methodmake_cache
(self)
mlx_lm/models/recurrent_gemma.py:445
Methodmake_cache
(self)
mlx_lm/models/gemma4_text.py:662
Methodmake_cache
(self)
mlx_lm/models/bailing_moe_linear.py:588
Methodmake_cache
(self)
mlx_lm/models/lfm2_moe.py:367
Methodmake_cache
(self)
mlx_lm/models/mimo_v2_flash.py:377
Methodmake_cache
(self)
mlx_lm/models/lfm2-vl.py:50
Methodmake_cache
(self)
mlx_lm/models/kimi_linear.py:483
Methodmake_cache
(self)
mlx_lm/models/step3p5.py:396
Methodmake_cache
(self)
mlx_lm/models/exaone_moe.py:374
← previousnext →2,001–2,100 of 2,622, ranked by callers