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

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 (Neko-Institute-of-Science/LLaMA-7B-4bit-32g)
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LLaMA 7B 4bit 32g Parameters and Internals

Training Details 
Data Sources:
wikitext2, ptb-new, c4-new
Methodology:
act-order true-sequential groupsize
Model Architecture:
stock 16bit, 32g, 128g
LLM NameLLaMA 7B 4bit 32g
Repository ๐Ÿค—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
Updated2025-08-20
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

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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  
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124