Qwen1.5 7B AWQ W4 G128 by OriDragon2000

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Qwen1.5 7B AWQ W4 G128 is an open-source language model by OriDragon2000. Features: 7b LLM, VRAM: 5.9GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

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

Qwen1.5 7B AWQ W4 G128 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 AWQ W4 G128 Parameters and Internals

LLM NameQwen1.5 7B AWQ W4 G128
Repository 🤗https://huggingface.co/OriDragon2000/Qwen1.5-7B-awq-w4-g128 
Model Size7b
Required VRAM5.9 GB
Updated2025-09-23
MaintainerOriDragon2000
Model Typeqwen2
Model Files  4.0 GB: 1-of-2   1.9 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than OriDragon2000/Qwen1.5-7B-awq-w4-g128.

Rank the Qwen1.5 7B AWQ W4 G128 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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Release v20260328a