Meta Llama 3.1 8B Instruct BNB NF4 by hugging-quants

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Meta Llama 3.1 8B Instruct BNB NF4 is an open-source language model by hugging-quants. Features: 8b LLM, VRAM: 5.8GB, Context: 128K, License: meta, Instruction-Based, LLM Explorer Score: 0.16.

  4-bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Bitsandbytes   Bnb   Conversational   De   Deploy:azure   En   Endpoints compatible   Es   Fr   Hi   Instruct   It   Llama   Llama-3.1   Meta   Pt   Region:us   Safetensors   Sharded   Tensorflow   Th

Meta Llama 3.1 8B Instruct BNB NF4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3.1 8B Instruct BNB NF4 (hugging-quants/Meta-Llama-3.1-8B-Instruct-BNB-NF4)
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Meta Llama 3.1 8B Instruct BNB NF4 Parameters and Internals

LLM NameMeta Llama 3.1 8B Instruct BNB NF4
Repository ๐Ÿค—https://huggingface.co/hugging-quants/Meta-Llama-3.1-8B-Instruct-BNB-NF4 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B-Instruct   meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM5.8 GB
Updated2026-03-29
Maintainerhugging-quants
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.43.0.dev0
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 hugging-quants/Meta-Llama-3.1-8B-Instruct-BNB-NF4.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Release v20260328a