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Kimi Dev 72B GPTQ 4bit by btbtyler09

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Kimi Dev 72B GPTQ 4bit is an open-source language model by btbtyler09. Features: 72b LLM, VRAM: 45.8GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.2.

  4-bit   4bit Base model:moonshotai/kimi-dev... Base model:quantized:moonshota...   Code   Conversational   Endpoints compatible   Gptq   Issue-resolving   Quantized   Qwen2   Region:us   Safetensors   Sharded   Software   Swebench   Tensorflow
Model Card on HF 🤗: https://huggingface.co/btbtyler09/Kimi-Dev-72B-GPTQ-4bit 

Kimi Dev 72B GPTQ 4bit Benchmarks

LLME Score: 0.19565
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 GPTQ 4bit (btbtyler09/Kimi-Dev-72B-GPTQ-4bit)
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Kimi Dev 72B GPTQ 4bit Parameters and Internals

LLM NameKimi Dev 72B GPTQ 4bit
Repository 🤗https://huggingface.co/btbtyler09/Kimi-Dev-72B-GPTQ-4bit 
Base Model(s)  Kimi Dev 72B   moonshotai/Kimi-Dev-72B
Model Size72b
Required VRAM45.8 GB
Updated2026-05-20
Maintainerbtbtyler09
Model Typeqwen2
Model Files  2.5 GB: 1-of-24   1.9 GB: 2-of-24   1.9 GB: 3-of-24   1.9 GB: 4-of-24   2.0 GB: 5-of-24   2.0 GB: 6-of-24   1.9 GB: 7-of-24   1.9 GB: 8-of-24   1.9 GB: 9-of-24   2.0 GB: 10-of-24   2.0 GB: 11-of-24   1.9 GB: 12-of-24   1.9 GB: 13-of-24   1.9 GB: 14-of-24   2.0 GB: 15-of-24   2.0 GB: 16-of-24   1.9 GB: 17-of-24   1.9 GB: 18-of-24   1.9 GB: 19-of-24   2.0 GB: 20-of-24   2.0 GB: 21-of-24   1.9 GB: 22-of-24   2.5 GB: 23-of-24   0.1 GB: 24-of-24
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.52.4
Tokenizer ClassQwen2TokenizerFast
Padding Token<|fim_pad|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Kimi Dev 72B GPTQ 4bit

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Qwen1.5 72B Chat GPTQ32K / 45.4 GB71
Qwen2.5 72B Instruct GPTQ Int432K / 41.6 GB1645744
Qwen2.5 72B Instruct GPTQ Int832K / 77 GB206528
Qwen2 72B Instruct GPTQ Int432K / 41.6 GB24133
Qwen1.5 72B Chat GPTQ Int432K / 41.3 GB315937
Qwen2 72B Instruct GPTQ Int832K / 77 GB5115
Qwen1.5 72B Chat GPTQ Int832K / 77 GB567
Kimi Dev 72B 4bit DWQ128K / 40.9 GB246319
Kimi Dev 72B 8bit128K / 77.1 GB2042
Kimi Dev 72B 5bit128K / 50.1 GB2082
Note: green Score (e.g. "73.2") means that the model is better than btbtyler09/Kimi-Dev-72B-GPTQ-4bit.

Rank the Kimi Dev 72B GPTQ 4bit Capabilities

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Instruction Following and Task Automation  
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