Tess V2.5.2 Qwen2 72B AWQ by prudant

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

Tess V2.5.2 Qwen2 72B AWQ 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 AWQ (prudant/Tess-v2.5.2-Qwen2-72B-AWQ)

Tess V2.5.2 Qwen2 72B AWQ Parameters and Internals

Additional Notes 
This is the AWQ GEMM quant version of the Tess-v2.5.2 model.
LLM NameTess V2.5.2 Qwen2 72B AWQ
Repository ๐Ÿค—https://huggingface.co/prudant/Tess-v2.5.2-Qwen2-72B-AWQ 
Base Model(s)  migtissera/Tess-v2.5-Qwen2-72B   migtissera/Tess-v2.5-Qwen2-72B
Model Size72b
Required VRAM41.6 GB
Updated2025-02-22
Maintainerprudant
Model Typeqwen2
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   5.0 GB: 3-of-9   5.0 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   4.5 GB: 8-of-9   2.5 GB: 9-of-9
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|end_of_text|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than prudant/Tess-v2.5.2-Qwen2-72B-AWQ.

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