mlx-lm Updates & Release Notes

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10 updates curated from 1 source by the Releasebot Team. Last updated: Sep 2, 2026

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  • Apr 22, 2026
    • Date parsed from source:
      Apr 22, 2026
    • First seen by Releasebot:
      Sep 2, 2026
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    mlx-lm by ml-explore

    v0.31.3

    mlx-lm ships a bugfix-focused release with thread local generation stream support to accompany MLX v0.31.2, plus fixes for batch cache mismatches, server tool calls, Gemma 4 parsing, Mistral tool calls, and other cache and tokenizer issues.

    Highlights

    Lots of bugfixes

    Thread local generation stream to accompany MLX v0.31.2

    What's Changed

    • Bump the patch version by @angeloskath in #1124
    • Fix batch dimension mismatch in BatchKVCache and BatchRotatingKVCache extend() by @razorback16 in #1141
    • Fix parallel tool call handling in server by @kernelpool in #1170
    • Fix MiniMax M2 parallel tool calling by @kernelpool in #1171
    • Fix missing tree_reduce import in models/cache.py by @siiea-ai in #1165
    • Apertus tie_word_embeddings fix by @BlackSamorez in #1143
    • Fix batch dimension mismatch in ArraysCache extend() by @techtoboggan in #1169
    • Fix dwq: check for actual safetensors in target_dir by @micuentadecasa in #1173
    • fix: handle NoneType check for think tokens in TokenizerWrapper by @yuetyeelo2855 in #1167
    • Fix Gemma4 tool parser: support hyphenated function names and braces in string args by @AkashKhamkar in #1150
    • Fix empty tool_call_end breaking Mistral tool calls by @eyupcanakman in #1151
    • Fix ArraysCache extend by @angeloskath in #1177
    • Fix Gemma 4 KV-shared layers creating unused projections by @glyphVault in #1158
    • Thread local generation stream by @angeloskath in #1090

    New Contributors

    • @razorback16 made their first contribution in #1141
    • @siiea-ai made their first contribution in #1165
    • @BlackSamorez made their first contribution in #1143
    • @techtoboggan made their first contribution in #1169
    • @micuentadecasa made their first contribution in #1173
    • @yuetyeelo2855 made their first contribution in #1167
    • @AkashKhamkar made their first contribution in #1150
    • @glyphVault made their first contribution in #1158

    Full Changelog: v0.31.2...v0.31.3

    Original source
  • Apr 7, 2026
    • Date parsed from source:
      Apr 7, 2026
    • First seen by Releasebot:
      Sep 2, 2026
    ml-explore logo

    mlx-lm by ml-explore

    v0.31.2

    mlx-lm releases improved caching and batch generation, adds presence and frequency penalties, expands server and benchmark support, and brings Gemma 4 and Nemotron Super support with multiple parser and decoding fixes.

    Highlights

    Caching system prompt and user messages for non-trimmable caches

    Batch generator refactoring

    What's Changed

    Bump the patch version by @angeloskath in #959

    Presence and frequency penalties by @angeloskath in #971

    Eval self.left_padding whenever it is updated in BatchRotatingKVCache by @rltakashige in #960

    Late binding caused incorrect cache checkpoint by @angeloskath in #976

    Move to metal agnostic device_info by @angeloskath in #979

    Fix CompletionsDataset mask_prompt crash by @eyupcanakman in #967

    Bump the patch version by @angeloskath in #981

    Fix test after latest MLX update by @angeloskath in #996

    Clear cache trainer memory by @N8python in #986

    feat(server): add --allowed-origins by @nwtgck in #987

    Delta net precision by @angeloskath in #997

    avoid mutating input in SuScaledRoPE and YarnRoPE by @mm65x in #1003

    handle missing content-length header in server by @mm65x in #1001

    fall back to ast.literal_eval for malformed JSON in qwen3_coder tool parser by @mm65x in #1004

    Nemotron super support by @angeloskath in #992

    Supporting delay in mlx_lm benchmark by @AndreasPlt in #1010

    Fix flaky test by @angeloskath in #1020

    Fix missing cache advance from qwen 3.5 by @angeloskath in #1024

    Refactor LRUPromptCache by @angeloskath in #1019

    Fix SSM dt clamp default for Nemotron-H by @kernelpool in #1026

    Inserting logits processors into BatchGenerator in batch_generate by @arthurhjorth in #1008

    fix: break shared-buffer memory leak in GatedDeltaNet cache by @adurham in #1077

    Fix PromptTrie.pop_prefixes() off-by-one when pruning immediate prefixes by @LxYuan0420 in #1078

    Batch generation refactoring and various fixes by @angeloskath in #1072

    perf: use max instead of argsort in apply_min_p sampling by @matteocelani in #1083

    Add gemma 4 by @Blaizzy in #1093

    Bring back max-kv-size to the batch generator by @angeloskath in #1106

    Add Gemma 4 tool call parser by @nicdavidson in #1105

    Fix Gemma 4 quantized per-layer projection loading by @spicyneuron in #1112

    Fix output corruption in speculative decoding by @kernelpool in #1109

    Gemma4 final fixes and multi-token think/tool start/end by @angeloskath in #1114

    Align batch logits processor token contract by @neilmehta24 in #1115

    New Contributors

    @rltakashige made their first contribution in #960

    @eyupcanakman made their first contribution in #967

    @nwtgck made their first contribution in #987

    @mm65x made their first contribution in #1003

    @AndreasPlt made their first contribution in #1010

    @arthurhjorth made their first contribution in #1008

    @adurham made their first contribution in #1077

    @LxYuan0420 made their first contribution in #1078

    @matteocelani made their first contribution in #1083

    @nicdavidson made their first contribution in #1105

    Full Changelog: v0.31.0...v0.31.2

    Original source
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  • Mar 11, 2026
    • Date parsed from source:
      Mar 11, 2026
    • First seen by Releasebot:
      Sep 2, 2026
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    mlx-lm by ml-explore

    v0.31.1

    mlx-lm fixes a CompletionsDataset mask_prompt crash.

    Fix CompletionsDataset mask_prompt crash (#967)

    Original source
  • Mar 7, 2026
    • Date parsed from source:
      Mar 7, 2026
    • First seen by Releasebot:
      Sep 2, 2026
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    mlx-lm by ml-explore

    v0.31.0

    mlx-lm releases v0.31.0 with better caching, server improvements, and broader model support, including JoyAI LLM Flash, Qwen 3.5 tensor parallelism, and fixes for quantization, cache handling, and model loading.

    What's Changed

    • Fix save/load of CacheList by @angeloskath in #886
    • Share model by @angeloskath in #871
    • Fix mixed quant predicates for MLA models by @spicyneuron in #892
    • Add JoyAI LLM Flash by @kernelpool in #894
    • perplexity: add --trust-remote-code option by @ivanfioravanti in #896
    • server: add usage.prompt_tokens_details.cached_tokens to json response by @percontation in #849
    • Fix qwen3.5 casting to fp32 by @awni in #902
    • Fix sharded rms norm in MiniMax M2.5 by @angeloskath in #898
    • Bump for next version by @awni in #904
    • Add tie_word_embeddings modulars in mistral and qwen3 moe by @Goekdeniz-Guelmez in #889
    • Allow reading LFM2 models nested rope params by @ykhrustalev in #908
    • Improve the cache size limits by @angeloskath in #906
    • Make the cache limits more friendly by @angeloskath in #910
    • Add 'mx.clear_cache()' to piecewise prompt processing in server. by @N8python in #917
    • Add filter guard to ArraysCache.nbytes property by @f1yn in #918
    • Add tokens to eval to avoid large graphs when they are not used by @awni in #924
    • Clear the cache during batch generation by @awni in #926
    • Fix qwen3.5 sanitize by @awni in #928
    • step3p5: use rotating cache for sliding attention layers by @lyonsno in #949
    • Proposal: --prefill-step-size as cmd line argument for speed/memory usage trade-off by @Abioy in #943
    • fix: convert() uses incorrect defaults for quantization mode by @spicyneuron in #935
    • Bump minor by @angeloskath in #954
    • Ensure normalization does not promote to fp32 by @angeloskath in #951
    • Better caching in the server by @angeloskath in #911
    • Adds tensor parallelism for Qwen 3.5 by @angeloskath in #957

    New Contributors

    • @spicyneuron made their first contribution in #892
    • @ykhrustalev made their first contribution in #908
    • @f1yn made their first contribution in #918
    • @lyonsno made their first contribution in #949
    • @Abioy made their first contribution in #943

    Full Changelog: v0.30.7...v0.31.0

    Original source
  • Feb 12, 2026
    • Date parsed from source:
      Feb 12, 2026
    • First seen by Releasebot:
      Sep 2, 2026
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    mlx-lm by ml-explore

    v0.30.7

    mlx-lm ships v0.30.7 with fixes and model support improvements, including Pythonic tool calling for LFM2 and Mistral, better DeepSeek V3.2 loading, optional validation sets, faster DSV32 generation, and added support for Qwen3.5 and GLM5.

    What's Changed

    • Fix Kimi Linear by @kernelpool in #853
    • Bump version for next release by @awni in #865
    • Pythonic tool calling for LFM2 models by @viktike in #864
    • Fix DeepSeek V3.2 indexer and weight loading by @kernelpool in #866
    • Make validation set optional in training process by @Goekdeniz-Guelmez in #857
    • Mistral tool parser by @awni in #874
    • LongCat MLA by @kernelpool in #868
    • [MODEL] support qwen3.5 series w/o vision by @JJJYmmm in #869
    • Faster DSV32 generation by @kernelpool in #885
    • Add GLM5 by @Goekdeniz-Guelmez in #867

    New Contributors

    • @viktike made their first contribution in #864
    • @JJJYmmm made their first contribution in #869

    Full Changelog: v0.30.6...v0.30.7

    Original source
  • Similar to mlx-lm with recent updates:

  • Feb 4, 2026
    • Date parsed from source:
      Feb 4, 2026
    • First seen by Releasebot:
      Sep 2, 2026
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    mlx-lm by ml-explore

    v0.30.6

    mlx-lm ships broad compatibility and inference updates with Transformers v5 support, new model and tool parsers, custom model loading, and distributed inference in the server. It also brings multiple fixes for quantization, batch handling, and generation behavior.

    What's Changed

    • Transformers v5 by @awni in #811
    • Add LongCat Flash tool parser by @kernelpool in #810
    • Add Kimi-K2.5 by @kernelpool in #813
    • Bump mlx version and version by @awni in #816
    • Fix NemotronH config compatibility with HuggingFace format by @LuqDaMan in #820
    • Fix for Exception - MultiLinear.to_quantized() missing 'mode' by @inferencers in #809
    • Fix Kimi K2.5 tool call handling by @kernelpool in #821
    • Actually add cli by @awni in #823
    • Add LongCat Flash Lite by @kernelpool in #819
    • Fix mixed quant by @awni in #825
    • Support distributed inference in the server by @angeloskath in #741
    • fix cli by @solarpunkin in #827
    • Enable loading custom models by @awni in #830
    • Allow default creation of BatchRotatingKVCache instead of BatchKVCache in batch mode by @christian-lms in #834
    • Add Step 3.5 Flash by @kernelpool in #836
    • server: support chat_template_kwargs and top_logprobs by @percontation in #829
    • fix: handle GLM 4.7 tool call fallbacks by @jalehman in #792
    • Deepseek V3.2 implementation fixes by @sjug in #838
    • Fix Step 3.5 Flash model conversion by @kernelpool in #840
    • Fix batch mamba by @awni in #842
    • Fix sliding window mask during generation by @kernelpool in #843
    • DSV3 MLA by @awni in #839

    New Contributors

    • @jalehman made their first contribution in #792

    Full Changelog: v0.30.5...v0.30.6

    Original source
  • Jan 25, 2026
    • Date parsed from source:
      Jan 25, 2026
    • First seen by Releasebot:
      Sep 2, 2026
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    mlx-lm by ml-explore

    v0.30.5

    mlx-lm ships a new release with server and generation fixes, OpenAI-compatible finish reasons, improved cache and batch generation behavior, distributed chat seed syncing, and added support for TeleChat3 and kimi tool parsing.

    What's Changed

    • import logging as it throws no logging error in place of actual error by @Maanas-Verma in #778
    • server: use OpenAI compatible finish_reason by @percontation in #782
    • move Xielu Activation in Apertus to activations.py by @Goekdeniz-Guelmez in #772
    • bump transformers by @awni in #746
    • Update glm4_moe_lite to store KV latent in cache by @N8python in #780
    • Adding TeleChat3 by @Goekdeniz-Guelmez in #773
    • add kimi tool parser by @Evanev7 in #791
    • Allow qq ops with activation quantization by @awni in #749
    • fix: use correct variable for logprobs in batch generation by @LuqDaMan in #800
    • Sync random seed across ranks in distributed chat by @kernelpool in #801
    • Fix ArraysCache.from_state not initializing left_padding and lengths by @lpalbou in #807

    New Contributors

    • @Maanas-Verma made their first contribution in #778
    • @percontation made their first contribution in #782
    • @LuqDaMan made their first contribution in #800
    • @lpalbou made their first contribution in #807

    Full Changelog: v0.30.4...v0.30.5

    Original source
  • Jan 19, 2026
    • Date parsed from source:
      Jan 19, 2026
    • First seen by Releasebot:
      Sep 2, 2026
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    mlx-lm by ml-explore

    v0.30.4

    mlx-lm adds AWQ and GPTQ weight transformation utilities, expands model support for Nemotron Super 49B v1.5 and GLM4 MoE Lite, and improves batch generation, caching, sharding, and sliding window handling across the latest release.

    What's Changed

    • Add AWQ/GPTQ weight transformation utilities by @ericcurtin in #730
    • Add IQuest Coder V1 Loop variant by @kernelpool in #716
    • Fix sliding window batching by @awni in #738
    • Fix Batch Generation: Add extract method to ArraysCache for item retrieval by @Goekdeniz-Guelmez in #740
    • Make MambaCache compatible with batch generation for nemotron-h by @nikhilmitrax in #690
    • Add a server benchmark for continuous batching by @awni in #728
    • Fix tools parameter in apply_chat_template call by @kernelpool in #747
    • Refactor tokenizer error handling to use warnings instead of exceptio… by @cubist38 in #744
    • Make cache list batchable by @awni in #743
    • Fix batch generation for IQuestLoopCoder model by @kernelpool in #748
    • Fix type hint and pydoc for batch_generate by @tibbes in #745
    • Handle empty caches during batch merge by @ivanfioravanti in #755
    • Update for latest mlx by @awni in #759
    • Use compiled Swiglu by @awni in #753
    • Adds support for Nemotron Super 49b v1.5 by @lazarust in #756
    • fix(falcon_h1): support tied embeddings and correct muP scaling by @solarpunkin in #764
    • Fix swiglu parameter order by @kernelpool in #767
    • Fix CacheList batching by @kernelpool in #769
    • fix: unused batch_size parameter for mlx_lm.evaluate by @AndrewTan517 in #762
    • Add gpt-oss sharding by @Evanev7 in #761
    • Fix LongCat Flash extended context support by @kernelpool in #768
    • Add minimax tensor sharding by @Evanev7 in #760
    • Shard LongCat Flash by @kernelpool in #771
    • Add glm4 moe lite model by @ivanfioravanti in #776

    New Contributors

    • @ericcurtin made their first contribution in #730
    • @nikhilmitrax made their first contribution in #690
    • @tibbes made their first contribution in #745
    • @solarpunkin made their first contribution in #764
    • @AndrewTan517 made their first contribution in #762
    • @Evanev7 made their first contribution in #761

    Full Changelog: v0.30.2...v0.30.4

    Original source
  • Jan 6, 2026
    • Date parsed from source:
      Jan 6, 2026
    • First seen by Releasebot:
      Sep 2, 2026
    ml-explore logo

    mlx-lm by ml-explore

    v0.30.2

    mlx-lm fixes its release with v0.30.2 updates and a full changelog from v0.30.1.

    What's Changed

    • Fix mlx-lm release by @awni in #733

    Full Changelog

    v0.30.1...v0.30.2

    Original source
  • Jan 6, 2026
    • Date parsed from source:
      Jan 6, 2026
    • First seen by Releasebot:
      Sep 2, 2026
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    mlx-lm by ml-explore

    v0.30.1

    mlx-lm releases v0.30.1 with new model support, including minimax m2, RWKV7, IQuest Coder V1, YoutuLLM, Solar Open, and K-EXAONE MoE, plus custom chat templates, batch_generate fixes, server parsing improvements, and broader quantization support.

    What's Changed

    • custom dsv32 chat template by @awni in #693
    • shard glm by @awni in #698
    • support minimax m2 by @awni in #700
    • Enhance load_config function to check for config file existence and i… by @cubist38 in #701
    • batch_generate fails with Phi3 (LongRoPE) when prompts have different lengths by @vyaivanove in #707
    • Fix GIL starvation in _generate thread when batch is idle by @sjug in #706
    • Ignore generation_config decode errors by @will-lms in #708
    • Allow mxfp8 and nvfp4 by @awni in #709
    • Fix chat template detection for models with custom tokenizers by @kernelpool in #712
    • chore: add model-path param flag for convert API for better clarity by @jaycoolslm in #702
    • Add RWKV7 by @MollySophia in #580
    • Fix empty /v1/models response for locally loaded models by @cxl-git-hub in #713
    • Add IQuest Coder V1 by @kernelpool in #714
    • Add YoutuLLM by @johnmai-dev in #720
    • Add logits_processors support to batch_generate by @lazarust in #635
    • Add Solar Open by @kernelpool in #721
    • Add K-EXAONE MoE by @kernelpool in #719
    • Improve reasoning and tool call parsing in server by @awni in #711
    • Patch bump by @awni in #731

    New Contributors

    • @cubist38 made their first contribution in #701
    • @vyaivanove made their first contribution in #707
    • @sjug made their first contribution in #706
    • @jaycoolslm made their first contribution in #702
    • @MollySophia made their first contribution in #580
    • @cxl-git-hub made their first contribution in #713
    • @lazarust made their first contribution in #635

    Full Changelog: v0.30.0...v0.30.1

    Original source

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