Qwen1.5 110B Chat 3.25bpw H6 EXL2 by yiximail

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  Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Exl2   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen1.5 110B Chat 3.25bpw H6 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen1.5 110B Chat 3.25bpw H6 EXL2 Parameters and Internals

LLM NameQwen1.5 110B Chat 3.25bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/yiximail/Qwen1.5-110B-Chat-3.25bpw-h6-exl2 
Model Size110b
Required VRAM47.7 GB
Updated2024-09-07
Maintaineryiximail
Model Typeqwen2
Model Files  8.6 GB: 1-of-6   8.5 GB: 2-of-6   8.6 GB: 3-of-6   8.4 GB: 4-of-6   8.5 GB: 5-of-6   5.1 GB: 6-of-6
Supported Languagesen
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen1.5 110B Chat 3.25bpw H6 EXL2 (yiximail/Qwen1.5-110B-Chat-3.25bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than yiximail/Qwen1.5-110B-Chat-3.25bpw-h6-exl2.

Rank the Qwen1.5 110B Chat 3.25bpw H6 EXL2 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803