LLM EXPLORER 60,519 MODELS INDEXED

Meta Llama 3.1 70B Instruct by meta-llama

By meta-llama · 521937 downloads
HF Repo ↗ Copy URL

Meta Llama 3.1 70B Instruct is an open-source language model by meta-llama. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: meta, Instruction-Based, LLM Explorer Score: 0.37.

  Arxiv:2204.05149   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Pt   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct 

Meta Llama 3.1 70B Instruct Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
Commercial, Research
Applications:
Natural Language Generation, Multilingual Dialogue
Primary Use Cases:
Assistant-like chat, Synthetic data generation
Limitations:
Use in unsupported languages without additional safety checks
Considerations:
The Llama 3.1 Community License and Acceptable Use Policy guide permissible use.
Additional Notes 
Developers should adhere to the Llama 3.1 Community License when using the model.
Supported Languages 
English (High), German (High), French (High), Italian (High), Portuguese (High), Hindi (High), Spanish (High), Thai (High)
Training Details 
Data Sources:
Publicly available online data
Data Volume:
15 trillion tokens
Methodology:
Supervised fine-tuning and reinforcement learning with human feedback
Context Length:
128000
Training Time:
39.3M GPU hours
Hardware Used:
Meta's custom built GPU cluster
Model Architecture:
Transformer-based auto-regressive language model
Safety Evaluation 
Methodologies:
Red-teaming, Adversarial prompting
Findings:
Cybersecurity uplift, Chemical safety assessments
Risk Categories:
Misinformation, Child Safety, Cybersecurity
Ethical Considerations:
Engagement in responsible AI practices is encouraged.
Responsible Ai Considerations 
Fairness:
Emphasis on mitigation of biases through careful selection and use of data.
Transparency:
Documentation and community engagement to enhance transparency.
Accountability:
Developers are responsible for tailoring model use to their policy requirements.
Mitigation Strategies:
Comprehensive red-teaming.
Input Output 
Input Format:
Multilingual text input
Accepted Modalities:
Text
Output Format:
Multilingual text and code output
Performance Tips:
Use Grouped-Query Attention for enhanced scalability.
Release Notes 
Version:
3.1
Date:
July 23, 2024
Notes:
Multilingual support and improved safety protocols.
LLM NameMeta Llama 3.1 70B Instruct
Repository 🤗https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct 
Base Model(s)  meta-llama/Meta-Llama-3.1-70B   meta-llama/Meta-Llama-3.1-70B
Model Size70b
Required VRAM141.9 GB
Updated2024-09-25
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 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

Quantized Models of the Meta Llama 3.1 70B Instruct

Model
Likes
Downloads
VRAM
Grok Oss Revenant 70B28503141 GB
...lama 3.1 70B Instruct Bnb 4bit32594739 GB
Reflection Llama 3.1 70B Bf166283141 GB
...70B Instruct AQLM PV 2Bit 1x16451622 GB
Reflection Llama 3.1 70B F164103141 GB
Reflection 70B Bnb 4bit98539 GB

Best Alternatives to Meta Llama 3.1 70B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB90695
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB76844
... 3 70B Instruct Gradient 1048K1024K / 141.9 GB22122
Llama3 Function Calling 1048K1024K / 141.9 GB51
...a 3 70B Instruct Gradient 524K512K / 141.9 GB2423
...a 3 70B Instruct Gradient 262K256K / 141.9 GB2056
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB103
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB50
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB213
Llama 3.1 70B Instruct128K / 141.9 GB813492938
Note: green Score (e.g. "73.2") means that the model is better than meta-llama/Meta-Llama-3.1-70B-Instruct.