Qwen1.5 7B Int3 GPTQ Wikitext2 by Xu-Ouyang

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Qwen1.5 7B Int3 GPTQ Wikitext2 is an open-source language model by Xu-Ouyang. Features: 7b LLM, VRAM: 5GB, Context: 32K, Quantized, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   3-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen1.5 7B Int3 GPTQ Wikitext2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen1.5 7B Int3 GPTQ Wikitext2 Parameters and Internals

LLM NameQwen1.5 7B Int3 GPTQ Wikitext2
Repository 🤗https://huggingface.co/Xu-Ouyang/Qwen1.5-7B-int3-GPTQ-wikitext2 
Model Size7b
Required VRAM5 GB
Updated2025-09-28
MaintainerXu-Ouyang
Model Typeqwen2
Model Files  3.8 GB: 1-of-2   1.2 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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....5 Coder 7B Instruct GPTQ Int832K / 8.9 GB3324
Qwen2 7B Instruct GPTQ Int432K / 5.6 GB214328
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Qwen1.5 7B Int4 GPTQ Wikitext232K / 5.8 GB50
AVA Qwen1.5 7B Chat Gptq 4bit32K / 5.8 GB71
Note: green Score (e.g. "73.2") means that the model is better than Xu-Ouyang/Qwen1.5-7B-int3-GPTQ-wikitext2.

Rank the Qwen1.5 7B Int3 GPTQ Wikitext2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a