Tess V2.5.2 Qwen2 72B 4 0bpw H6 EXL2 Pippa by denru

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  4-bit   Autotrain compatible   Conversational   Endpoints compatible   Exl2   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Tess V2.5.2 Qwen2 72B 4 0bpw H6 EXL2 Pippa Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess V2.5.2 Qwen2 72B 4 0bpw H6 EXL2 Pippa (denru/Tess-v2.5.2-Qwen2-72B-4_0bpw-h6-exl2-pippa)

Tess V2.5.2 Qwen2 72B 4 0bpw H6 EXL2 Pippa Parameters and Internals

LLM NameTess V2.5.2 Qwen2 72B 4 0bpw H6 EXL2 Pippa
Repository ๐Ÿค—https://huggingface.co/denru/Tess-v2.5.2-Qwen2-72B-4_0bpw-h6-exl2-pippa 
Model Size72b
Required VRAM38.6 GB
Updated2025-06-01
Maintainerdenru
Model Typeqwen2
Model Files  8.5 GB: 1-of-5   8.5 GB: 2-of-5   8.6 GB: 3-of-5   8.5 GB: 4-of-5   4.5 GB: 5-of-5
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|end_of_text|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than denru/Tess-v2.5.2-Qwen2-72B-4_0bpw-h6-exl2-pippa.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227