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Meta Llama 3 70B Instruct 4bit 64rank by LoftQ

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  Arxiv:2310.08659   4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Llama   Loftq   Lora   Quantization   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoftQ/Meta-Llama-3-70B-Instruct-4bit-64rank 

Meta Llama 3 70B Instruct 4bit 64rank Benchmarks

LLME Score: 0.15284
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 70B Instruct 4bit 64rank (LoftQ/Meta-Llama-3-70B-Instruct-4bit-64rank)
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Meta Llama 3 70B Instruct 4bit 64rank Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (proficient)
Training Details 
Methodology:
LoRA-fine-tuning-aware Quantization
LLM NameMeta Llama 3 70B Instruct 4bit 64rank
Repository 🤗https://huggingface.co/LoftQ/Meta-Llama-3-70B-Instruct-4bit-64rank 
Base Model(s)  Meta Llama 3 70B Instruct 64K   NurtureAI/Meta-Llama-3-70B-Instruct-64k
Model Size70b
Required VRAM42.9 GB
Updated2025-09-16
MaintainerLoftQ
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   5.0 GB: 3-of-9   5.0 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   5.0 GB: 7-of-9   5.0 GB: 8-of-9   3.0 GB: 9-of-9
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoftQ/Meta-Llama-3-70B-Instruct-4bit-64rank.

Rank the Meta Llama 3 70B Instruct 4bit 64rank 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  
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Release v20241124
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