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Meta Llama 3.1 8B Instruct Bf16 by mlx-community

 »  All LLMs  »  mlx-community  »  Meta Llama 3.1 8B Instruct Bf16   URL Share it on

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Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   De   En   Es   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Mlx   Pt   Pytorch   Region:us   Safetensors   Th
Model Card on HF 🤗: https://huggingface.co/mlx-community/Meta-Llama-3.1-8B-Instruct-bf16 

Meta Llama 3.1 8B Instruct Bf16 Benchmarks

LLME Score: 0.21653
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 Bf16 (mlx-community/Meta-Llama-3.1-8B-Instruct-bf16)

Meta Llama 3.1 8B Instruct Bf16 Parameters and Internals

Model Type 
text generation
Supported Languages 
en (Proficient), de (Proficient), fr (Proficient), it (Proficient), pt (Proficient), hi (Proficient), es (Proficient), th (Proficient)
LLM NameMeta Llama 3.1 8B Instruct Bf16
Repository 🤗https://huggingface.co/mlx-community/Meta-Llama-3.1-8B-Instruct-bf16 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B-Instruct   meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM4.5 GB
Updated2025-01-02
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  4.5 GB
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.42.3
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 mlx-community/Meta-Llama-3.1-8B-Instruct-bf16.

Rank the Meta Llama 3.1 8B Instruct Bf16 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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Release v20241227
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