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Qwen1.5 0.5B Chat SFT MCQA AWQ by attention-avengers

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

Qwen1.5 0.5B Chat SFT MCQA AWQ Benchmarks

LLME Score: 0.22716
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen1.5 0.5B Chat SFT MCQA AWQ Parameters and Internals

LLM NameQwen1.5 0.5B Chat SFT MCQA AWQ
Repository 🤗https://huggingface.co/attention-avengers/Qwen1.5-0.5B-Chat-SFT-MCQA-AWQ 
Base Model(s)  attention-avengers/Qwen1.5-0.5B-Chat-SFT-MCQA   attention-avengers/Qwen1.5-0.5B-Chat-SFT-MCQA
Model Size0.5b
Required VRAM0.8 GB
Updated2024-09-06
Maintainerattention-avengers
Model Typeqwen2
Model Files  0.8 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace
Qwen1.5 0.5B Chat SFT MCQA AWQ (attention-avengers/Qwen1.5-0.5B-Chat-SFT-MCQA-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than attention-avengers/Qwen1.5-0.5B-Chat-SFT-MCQA-AWQ.

Rank the Qwen1.5 0.5B Chat SFT MCQA AWQ Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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