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Kimi Dev 72B GPTQ 4bit by btbtyler09

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  4-bit   4bit   Autotrain compatible 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: 0.29627
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
Updated2025-07-11
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

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