Qwen1.5 32B Chat Quip 3bit by Minami-su

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  3bit   Autotrain compatible   Conversational   Endpoints compatible   Pytorch   Quantized   Quip   Qwen2   Region:us   Sharded

Qwen1.5 32B Chat Quip 3bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen1.5 32B Chat Quip 3bit Parameters and Internals

LLM NameQwen1.5 32B Chat Quip 3bit
Repository ๐Ÿค—https://huggingface.co/Minami-su/Qwen1.5-32B-Chat-quip-3bit 
Model Size32b
Required VRAM14.8 GB
Updated2025-06-09
MaintainerMinami-su
Model Typeqwen2
Model Files  10.0 GB: 1-of-2   4.8 GB: 2-of-2
Quantization Type3bit
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
Qwen1.5 32B Chat Quip 3bit (Minami-su/Qwen1.5-32B-Chat-quip-3bit)

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Note: green Score (e.g. "73.2") means that the model is better than Minami-su/Qwen1.5-32B-Chat-quip-3bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124