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Qwen2 72B Instruct GPTQ Int8 by Qwen

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  Arxiv:2309.00071   8-bit   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2-72b-inst...   Chat   Conversational   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2 72B Instruct GPTQ Int8 Benchmarks

LLME Score: 0.23753
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 GPTQ Int8 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation, multilingual capability, coding, mathematics, reasoning
Additional Notes 
Supports context length up to 131,072 tokens using YARN for long texts. Utilizes vLLM for deployment for handling long contexts effectively.
Supported Languages 
en (professional)
Training Details 
Methodology:
Pretrained with a large amount of data, post-trained with supervised fine-tuning and direct preference optimization.
Context Length:
131072
Model Architecture:
Transformer with SwiGLU activation, attention QKV bias, group query attention, improved tokenizer adaptive to multiple natural languages and codes.
Input Output 
Input Format:
[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"<input>"}]
Accepted Modalities:
text
Output Format:
Generated text based on input context, can process up to 131,072 tokens.
Performance Tips:
To handle extensive inputs exceeding 32,768 tokens, utilize YARN technique for enhancing model length extrapolation.
LLM NameQwen2 72B Instruct GPTQ Int8
Repository 🤗https://huggingface.co/Qwen/Qwen2-72B-Instruct-GPTQ-Int8 
Base Model(s)  Qwen2 72B Instruct   Qwen/Qwen2-72B-Instruct
Model Size72b
Required VRAM77 GB
Updated2024-11-21
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.8 GB: 1-of-20   3.9 GB: 2-of-20   3.9 GB: 3-of-20   3.9 GB: 4-of-20   3.9 GB: 5-of-20   3.9 GB: 6-of-20   3.9 GB: 7-of-20   3.9 GB: 8-of-20   3.9 GB: 9-of-20   3.9 GB: 10-of-20   3.9 GB: 11-of-20   3.9 GB: 12-of-20   3.9 GB: 13-of-20   3.9 GB: 14-of-20   3.9 GB: 15-of-20   3.9 GB: 16-of-20   3.9 GB: 17-of-20   3.9 GB: 18-of-20   3.9 GB: 19-of-20   3.0 GB: 20-of-20
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
Qwen2 72B Instruct GPTQ Int8 (Qwen/Qwen2-72B-Instruct-GPTQ-Int8)

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Qwen2.5 72B Instruct GPTQ Int432K / 41.6 GB2172523
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Qwen2 72B Instruct Bnb 4bit32K / 41.2 GB767
...struct Mix Calibration 4B EXL232K / 38.8 GB52
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-72B-Instruct-GPTQ-Int8.

Rank the Qwen2 72B Instruct GPTQ Int8 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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