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Qwen2 72B Instruct Bpw5.5 EXL2 by blockblockblock

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Qwen2 72B Instruct Bpw5.5 EXL2 is an open-source language model by blockblockblock. Features: 72b LLM, VRAM: 51.8GB, Context: 32K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  Arxiv:2309.00071   Chat   Conversational   En   Endpoints compatible   Exl2   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/blockblockblock/Qwen2-72B-Instruct-bpw5.5-exl2 

Qwen2 72B Instruct Bpw5.5 EXL2 Benchmarks

LLME Score: 0.14001
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 72B Instruct Bpw5.5 EXL2 (blockblockblock/Qwen2-72B-Instruct-bpw5.5-exl2)
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Qwen2 72B Instruct Bpw5.5 EXL2 Parameters and Internals

Model Type 
text-generation, multimodal
Use Cases 
Areas:
Research, Commercial applications
Supported Languages 
English (high), Chinese (high)
Training Details 
Methodology:
Pretrained with a large amount of data followed by supervised finetuning and direct preference optimization.
Context Length:
131072
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, and an improved tokenizer adaptive to multiple natural languages and codes.
Input Output 
Input Format:
Structured prompts following a chat template
Accepted Modalities:
text
Output Format:
Generated text responses
Performance Tips:
Use rope_scaling for processing longer contexts when necessary
LLM NameQwen2 72B Instruct Bpw5.5 EXL2
Repository 🤗https://huggingface.co/blockblockblock/Qwen2-72B-Instruct-bpw5.5-exl2 
Model Size72b
Required VRAM51.8 GB
Updated2025-12-24
Maintainerblockblockblock
Model Typeqwen2
Instruction-BasedYes
Model Files  8.6 GB: 1-of-7   8.6 GB: 2-of-7   8.5 GB: 3-of-7   8.6 GB: 4-of-7   8.4 GB: 5-of-7   8.1 GB: 6-of-7   1.0 GB: 7-of-7
Supported Languagesen
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...struct Mix Calibration 4B EXL232K / 38.8 GB62
Qwen2 72B Instruct Bpw4 EXL232K / 38.7 GB80
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Note: green Score (e.g. "73.2") means that the model is better than blockblockblock/Qwen2-72B-Instruct-bpw5.5-exl2.

Rank the Qwen2 72B Instruct Bpw5.5 EXL2 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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