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Qwen2 0.5B Instuct Int4 Inc by Intel

 »  All LLMs  »  Intel  »  Qwen2 0.5B Instuct Int4 Inc   URL Share it on

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  Arxiv:2309.05516   4-bit   Autotrain compatible   Conversational   Dataset:neelnanda/pile-10k   Endpoints compatible   Gptq   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Intel/Qwen2-0.5B-Instuct-int4-inc 

Qwen2 0.5B Instuct Int4 Inc Benchmarks

LLME Score: 0.17445
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 0.5B Instuct Int4 Inc (Intel/Qwen2-0.5B-Instuct-int4-inc)

Qwen2 0.5B Instuct Int4 Inc Parameters and Internals

Model Type 
causal language model
Use Cases 
Primary Use Cases:
Text generation tasks
Limitations:
Factually incorrect outputs, Potential offensive content
Considerations:
Developers to perform safety testing before deployment
Training Details 
Data Sources:
NeelNanda/pile-10k
Methodology:
INT4 quantization with group_size 32
Model Architecture:
int4 model with group size 32 sym
Responsible Ai Considerations 
Fairness:
Model could generate lewd, biased or offensive outputs
Transparency:
Users should be made aware of the risks, biases and limitations
Mitigation Strategies:
Developers should perform safety testing before deployment
Input Output 
Input Format:
Text input in tokenized format
Accepted Modalities:
text
Output Format:
Text output as tokenized sentences
Performance Tips:
Use CUDA device for better performance
LLM NameQwen2 0.5B Instuct Int4 Inc
Repository 🤗https://huggingface.co/Intel/Qwen2-0.5B-Instuct-int4-inc 
Model Size0.5b
Required VRAM0.8 GB
Updated2025-06-01
MaintainerIntel
Model Typeqwen2
Instruction-BasedYes
Model Files  0.8 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Intel/Qwen2-0.5B-Instuct-int4-inc.

Rank the Qwen2 0.5B Instuct Int4 Inc 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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