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LLaMA 65B 4bit 32g by Neko-Institute-of-Science

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LLaMA 65B 4bit 32g is an open-source language model by Neko-Institute-of-Science. Features: 65b LLM, VRAM: 38.5GB, Context: 2K, Quantized, LLM Explorer Score: 0.07.

  4bit   Endpoints compatible   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Neko-Institute-of-Science/LLaMA-65B-4bit-32g 

LLaMA 65B 4bit 32g Benchmarks

LLME Score: 0.06791
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA 65B 4bit 32g (Neko-Institute-of-Science/LLaMA-65B-4bit-32g)
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LLaMA 65B 4bit 32g Parameters and Internals

Model Type 
text generation
Additional Notes 
The user attempted to run the model with group sizes of 16 and 32g for specific benchmarks and noted the ability to run the full context on an A6000.
LLM NameLLaMA 65B 4bit 32g
Repository 🤗https://huggingface.co/Neko-Institute-of-Science/LLaMA-65B-4bit-32g 
Model Size65b
Required VRAM38.5 GB
Updated2026-03-30
MaintainerNeko-Institute-of-Science
Model Typellama
Model Files  38.5 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-65B-4bit-32g.

Rank the LLaMA 65B 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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