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Qwen2 0.5B Chat SFT AWQ Q4 NoCal by JCHAVEROT

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Q4   Quantized   Qwen2   Region:us   Safetensors

Qwen2 0.5B Chat SFT AWQ Q4 NoCal Benchmarks

LLME Score: 0.21787
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 Chat SFT AWQ Q4 NoCal Parameters and Internals

LLM NameQwen2 0.5B Chat SFT AWQ Q4 NoCal
Repository 🤗https://huggingface.co/JCHAVEROT/Qwen2-0.5B-Chat_SFT_AWQ_q4_NoCal 
Model Size0.5b
Required VRAM0.7 GB
Updated2024-10-18
MaintainerJCHAVEROT
Model Typeqwen2
Model Files  0.7 GB
AWQ QuantizationYes
Quantization Typeawq|q4
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace
Qwen2 0.5B Chat SFT AWQ Q4 NoCal (JCHAVEROT/Qwen2-0.5B-Chat_SFT_AWQ_q4_NoCal)

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Note: green Score (e.g. "73.2") means that the model is better than JCHAVEROT/Qwen2-0.5B-Chat_SFT_AWQ_q4_NoCal.

Rank the Qwen2 0.5B Chat SFT AWQ Q4 NoCal 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 v2024072803
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