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Kimi Dev 72B 4bit DWQ by mlx-community

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Kimi Dev 72B 4bit DWQ is an open-source language model by mlx-community. Features: 72b LLM, VRAM: 40.9GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.24.

  4-bit   4bit Base model:moonshotai/kimi-dev... Base model:quantized:moonshota...   Code   Conversational   Issue-resolving   Mlx   Quantized   Qwen2   Region:us   Safetensors   Sharded   Software   Swebench   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Kimi-Dev-72B-4bit-DWQ 

Kimi Dev 72B 4bit DWQ Benchmarks

LLME Score: 0.23612
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kimi Dev 72B 4bit DWQ (mlx-community/Kimi-Dev-72B-4bit-DWQ)
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Kimi Dev 72B 4bit DWQ Parameters and Internals

LLM NameKimi Dev 72B 4bit DWQ
Repository 🤗https://huggingface.co/mlx-community/Kimi-Dev-72B-4bit-DWQ 
Base Model(s)  Kimi Dev 72B   moonshotai/Kimi-Dev-72B
Model Size72b
Required VRAM40.9 GB
Updated2026-05-15
Maintainermlx-community
Model Typeqwen2
Model Files  5.4 GB: 1-of-8   5.3 GB: 2-of-8   5.3 GB: 3-of-8   5.3 GB: 4-of-8   5.3 GB: 5-of-8   5.3 GB: 6-of-8   5.3 GB: 7-of-8   3.7 GB: 8-of-8
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Kimi Dev 72B 4bit DWQ

Best Alternatives
Context / RAM
Downloads
Likes
Kimi Dev 72B 8bit128K / 77.1 GB2042
Kimi Dev 72B 5bit128K / 50.1 GB2082
...in 2.9.2 Qwen2 72B 6.0bpw EXL2128K / 56.1 GB71
...Qwen2 72B 4 0bpw H6 EXL2 Pippa128K / 38.6 GB21
Qwen2 72B Bnb 4bit128K / 41.2 GB614
...phin 292 Qwen2 72b EXL2 4 0bpw128K / 38.6 GB41
...n 2.9.2 Qwen72b 8.0bpw H8 EXL2128K / 66.8 GB32
Qwen2 72B 4bit128K / 40.9 GB270
...B Instruct 2.0bpw H Novel EXL2125K / 23 GB51
Qwen2 72B Instruct 4bit32K / 40.9 GB432
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Kimi-Dev-72B-4bit-DWQ.

Rank the Kimi Dev 72B 4bit DWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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