Llama 3.2 1B Instruct Medmcqa Zh Linear by autoprogrammer

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors

Llama 3.2 1B Instruct Medmcqa Zh Linear Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 1B Instruct Medmcqa Zh Linear (autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear)

Llama 3.2 1B Instruct Medmcqa Zh Linear Parameters and Internals

LLM NameLlama 3.2 1B Instruct Medmcqa Zh Linear
Repository ๐Ÿค—https://huggingface.co/autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear 
Model Size1b
Required VRAM4.9 GB
Updated2024-12-06
Maintainerautoprogrammer
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear.

Rank the Llama 3.2 1B Instruct Medmcqa Zh Linear 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124