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LLaMA 7B 4bit 32g by Neko-Institute-of-Science

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  4bit   Autotrain compatible   Endpoints compatible   Llama   Quantized   Region:us

LLaMA 7B 4bit 32g Benchmarks

LLME Score: 0.10453
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

LLaMA 7B 4bit 32g Parameters and Internals

LLM NameLLaMA 7B 4bit 32g
Repository 🤗https://huggingface.co/Neko-Institute-of-Science/LLaMA-7B-4bit-32g 
Base Model(s)  Todd Proxy LoRA 7b   autobots/Todd_Proxy_LoRA_7b
Model Size7b
Required VRAM4.3 GB
Updated2024-10-18
MaintainerNeko-Institute-of-Science
Model Typellama
Model Files  4.3 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
LLaMA 7B 4bit 32g (Neko-Institute-of-Science/LLaMA-7B-4bit-32g)

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Note: green Score (e.g. "73.2") means that the model is better than Neko-Institute-of-Science/LLaMA-7B-4bit-32g.

Rank the LLaMA 7B 4bit 32g Capabilities

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Instruction Following and Task Automation  
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Censorship and Alignment  
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Text Generation  
Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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