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Qwen 72B Llama by Weyaxi

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Qwen 72B Llama is an open-source language model by Weyaxi. Features: 72b LLM, VRAM: 144.2GB, Context: 32K, License: other, HF Score: 69.5, LLM Explorer Score: 0.13, Arc: 64.9, HellaSwag: 83.3, MMLU: 73.7, TruthfulQA: 57.6, WinoGrande: 81.5, GSM8K: 56.3.

  Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Weyaxi/Qwen-72B-Llama 

Qwen 72B Llama Benchmarks

ARC: 64.85 vs 96.7 (so35)-32.9%
HellaSwag: 83.27 vs 95.3 (gpt4)-12.6%
MMLU: 73.66 vs 88.3 (so35)-16.6%
TruthfulQA: 57.6 vs 59 (gpt4)-2.4%
WinoGrande: 81.53 vs 87.5 (gpt4)-6.8%
GSM8K: 56.25 vs 96.4 (so35)-41.6%
LLME Score: 0.13019
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 72B Llama (Weyaxi/Qwen-72B-Llama)
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Qwen 72B Llama Parameters and Internals

Model Type 
llamafied version
LLM NameQwen 72B Llama
Repository 🤗https://huggingface.co/Weyaxi/Qwen-72B-Llama 
Model Size72b
Required VRAM144.2 GB
Updated2026-01-07
MaintainerWeyaxi
Model Typellama
Model Files  5.8 GB: 1-of-26   5.0 GB: 2-of-26   6.0 GB: 3-of-26   5.8 GB: 4-of-26   5.6 GB: 5-of-26   6.0 GB: 6-of-26   5.8 GB: 7-of-26   5.6 GB: 8-of-26   6.0 GB: 9-of-26   5.8 GB: 10-of-26   5.6 GB: 11-of-26   5.2 GB: 12-of-26   5.6 GB: 13-of-26   5.6 GB: 14-of-26   6.0 GB: 15-of-26   5.8 GB: 16-of-26   5.6 GB: 17-of-26   6.0 GB: 18-of-26   5.8 GB: 19-of-26   5.6 GB: 20-of-26   6.0 GB: 21-of-26   5.8 GB: 22-of-26   5.6 GB: 23-of-26   6.0 GB: 24-of-26   5.8 GB: 25-of-26   0.8 GB: 26-of-26
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Qwen-72B-Llama.

Rank the Qwen 72B Llama Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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