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Qwen2 1.5B Instruct GPTQ Int4 by Qwen

 »  All LLMs  »  Qwen  »  Qwen2 1.5B Instruct GPTQ Int4   URL Share it on

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  4-bit   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2-1.5b-ins...   Chat   Conversational   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-1.5B-Instruct-GPTQ-Int4 

Qwen2 1.5B Instruct GPTQ Int4 Benchmarks

LLME Score: 0.24572
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B Instruct GPTQ Int4 (Qwen/Qwen2-1.5B-Instruct-GPTQ-Int4)

Qwen2 1.5B Instruct GPTQ Int4 Parameters and Internals

Model Type 
text generation, chat
Additional Notes 
Recommended to use transformers>=4.37.0 due to KeyError issues.
Supported Languages 
en (high)
Training Details 
Methodology:
Supervised fine-tuning and direct preference optimization.
Model Architecture:
Transformer with SwiGLU activation, attention QKV bias, group query attention, etc.
Input Output 
Input Format:
Messages with roles such as 'system' and 'user'.
Accepted Modalities:
text
Output Format:
Generated text responses
Performance Tips:
Consider using transformers>=4.37.0 to avoid KeyError.
LLM NameQwen2 1.5B Instruct GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen2-1.5B-Instruct-GPTQ-Int4 
Base Model(s)  Qwen/Qwen2-1.5B-Instruct   Qwen/Qwen2-1.5B-Instruct
Model Size1.5b
Required VRAM2.5 GB
Updated2025-02-05
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  2.5 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0
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 Qwen/Qwen2-1.5B-Instruct-GPTQ-Int4.

Rank the Qwen2 1.5B Instruct GPTQ Int4 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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