LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Llama 3 70B Instruct by v2ray

 »  All LLMs  »  v2ray  »  Llama 3 70B Instruct   URL Share it on

  29   

Llama 3 70B Instruct is an open-source language model by v2ray. Features: 70b LLM, VRAM: 141.9GB, Context: 8K, License: other, Instruction-Based, LLM Explorer Score: 0.26, ELO: 1275.

  Autotrain compatible   Conversational   En   Endpoints compatible   Facebook   Instruct   Llama   Llama-3   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/v2ray/Llama-3-70B-Instruct 

Llama 3 70B Instruct Benchmarks

LMSys ELO: 1275 vs 1272 (so35)0.2%
LLME Score: 0.25852
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 70B Instruct (v2ray/Llama-3-70B-Instruct)
🌟 Advertise your project 🚀

Llama 3 70B Instruct Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation
Primary Use Cases:
English-language assistant tasks
Limitations:
Language-specific and legal usage restrictions
Considerations:
Focus on safety and responsible deployment.
Additional Notes 
Optimized for dialogue use cases; improved inference scalability with GQA.
Supported Languages 
en (Commercial and research use in English)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15 trillion tokens
Methodology:
supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
8000
Training Time:
7.7M GPU hours; Total emissions of 2290 tCO2eq
Hardware Used:
Meta's Research SuperCluster, Production clusters, Third-party cloud compute
Model Architecture:
auto-regressive language model, optimized transformer
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Findings:
Improved model helpfulness and reduced false refusals.
Risk Categories:
Cyber Security, Child Safety
Ethical Considerations:
Ongoing evaluation and improvement through community feedback and transparency.
Responsible Ai Considerations 
Fairness:
Efforts to align models with human preferences for helpfulness and safety.
Transparency:
Outlined in Responsible Use Guide and other Meta documentation.
Accountability:
Meta provides guidelines and tools for responsible use deployment.
Mitigation Strategies:
Employs safeguards like Meta Llama Guard 2 and Code Shield.
Input Output 
Input Format:
text-only
Accepted Modalities:
text
Output Format:
text and code
Performance Tips:
Use safety tools and responsible AI practices as recommended.
Release Notes 
Version:
3.0
Date:
April 18, 2024
Notes:
Initial release with improved performance and safety measures.
LLM NameLlama 3 70B Instruct
Repository 🤗https://huggingface.co/v2ray/Llama-3-70B-Instruct 
Model Size70b
Required VRAM141.9 GB
Updated2025-09-23
Maintainerv2ray
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
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Llama 3 70B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB90695
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB79144
... 3 70B Instruct Gradient 1048K1024K / 141.9 GB13122
Llama3 Function Calling 1048K1024K / 141.9 GB61
...a 3 70B Instruct Gradient 524K512K / 141.9 GB1023
...a 3 70B Instruct Gradient 262K256K / 141.9 GB2256
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB303
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB130
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB113
Llama 3.1 70B Instruct128K / 141.9 GB1008029904
Note: green Score (e.g. "73.2") means that the model is better than v2ray/Llama-3-70B-Instruct.

Rank the Llama 3 70B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 52473 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer