v0.31.3

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

v0.31.2

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

v0.31.0

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

v0.30.7

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

v0.30.6

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

v0.30.5

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

v0.30.4

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

v0.30.2

What's Changed

• Fix mlx-lm release by @awni in #733

Full Changelog: v0.30.1...v0.30.2

v0.30.1

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

v0.30.0

What's Changed

• fix: server busy-waiting during idle request polling by @zenyr in #674
• Fixes for transformers v5 by @awni in #684
• Add mimo v2 flash by @awni in #685
• More useful error message for unsupported batching by @awni in #687
• Model parallel generation by @angeloskath in #676
• Bump to transformer v5 by @awni in #689
• Revert return dict and wrap apply_chat_template by @awni in #691
• Bump the version by @angeloskath in #692

Full Changelog: v0.29.0...v0.30.0