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Meta Llama 3 70B Instruct by meta-llama

By meta-llama · 109452 downloads
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Meta Llama 3 70B Instruct is an open-source language model by meta-llama. Features: 70b LLM, VRAM: 141.9GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.34, Arc: 71.4, HellaSwag: 85.7, MMLU: 80.1, GSM8K: 85.4.

Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   Deploy:sagemaker   En   Endpoints compatible   Eval-results   Facebook   Instruct   Llama   Llama-3   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct 

Meta Llama 3 70B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
chatbot, NLP tasks
Primary Use Cases:
Instruction tuned models for assistant-like chat
Limitations:
English only, compliance with policies required
Supported Languages 
en (optimised)
Training Details 
Data Sources:
publicly available online data, instruction datasets, 10M human-annotated examples
Data Volume:
15T+ tokens
Methodology:
Pretraining, fine-tuning, reinforcement learning with human feedback
Context Length:
8000
Hardware Used:
H100-80GB GPUs
Model Architecture:
Optimized transformer architecture, auto-regressive
Safety Evaluation 
Methodologies:
Red teaming, Adversarial evaluations, Safety mitigations
Findings:
Llama 3 has enhanced measures to reduce residual risks
Risk Categories:
Cybersecurity, Child Safety, General misuse
Responsible Ai Considerations 
Mitigation Strategies:
Implement safety tools, community feedback
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text, code
Release Notes 
Version:
3.1
Notes:
Release of instruction tuned models optimized for dialogue use cases
LLM NameMeta Llama 3 70B Instruct
Repository 🤗https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct 
Base Model(s)  Meta Llama 3 70B   meta-llama/Meta-Llama-3-70B
Model Size70b
Required VRAM141.9 GB
Updated2026-07-31
Maintainermeta-llama
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Meta Llama 3 70B Instruct

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VRAM
Meta Llama 3 70B Instruct GPTQ1976339 GB
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...oLLM Llama3 70B 6.0bpw H6 EXL20554 GB
...LLM Llama3 70B 4.65bpw H6 EXL20542 GB
Llama3 70B Instruct 4bit1239 GB

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Note: green Score (e.g. "73.2") means that the model is better than meta-llama/Meta-Llama-3-70B-Instruct.