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

Meta Llama 3 8B Alternate Tokenizer by NousResearch

 »  All LLMs  »  NousResearch  »  Meta Llama 3 8B Alternate Tokenizer   URL Share it on

  1719   
  Autotrain compatible   Conversational   En   Endpoints compatible   Facebook   Llama   Llama-3   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer 

Meta Llama 3 8B Alternate Tokenizer Benchmarks

LLME Score: 0.18223
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 8B Alternate Tokenizer (NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer)
🌟 Advertise your project 🚀

Meta Llama 3 8B Alternate Tokenizer Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation tasks
Primary Use Cases:
Commercial applications, Research
Limitations:
Out-of-scope use in languages other than English without fine-tuning
Considerations:
Developers are encouraged to fine-tune models for their specific use cases.
Additional Notes 
Pretraining does not include Meta user data. Developers encouraged to share feedback via provided channels. Carbon emissions for training offset by Meta's sustainability program.
Supported Languages 
English (Fully Supported)
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
Hardware Used:
Meta's Research SuperCluster (H100-80GB GPUs)
Model Architecture:
Optimized transformer architecture with Grouped-Query Attention (GQA)
Safety Evaluation 
Methodologies:
Red teaming, Adversarial evaluations
Risk Categories:
CBRNE (Chemical, Biological, Radiological, Nuclear, and Explosives), Cyber security, Child safety
Ethical Considerations:
Residual risks remain; recommended safety evaluations before deployment
Responsible Ai Considerations 
Fairness:
Trade-offs between model helpfulness and alignment are unavoidable.
Transparency:
Efforts towards community standardization and transparency.
Accountability:
Developers should assess safety risks in specific applications.
Mitigation Strategies:
Use of Purple Llama tools and Llama Guard for system-level safety.
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text
Release Notes 
Version:
3
Date:
April 18, 2024
Notes:
Initial release of Meta Llama 3 models (8B and 70B sizes)
LLM NameMeta Llama 3 8B Alternate Tokenizer
Repository 🤗https://huggingface.co/NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer 
Model Size8b
Required VRAM16.1 GB
Updated2025-09-08
MaintainerNousResearch
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to Meta Llama 3 8B Alternate Tokenizer

Best Alternatives
Context / RAM
Downloads
Likes
...otron 8B UltraLong 4M Instruct4192K / 32.1 GB5439119
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
UltraLong Thinking4192K / 16.1 GB413
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB118215
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB607450
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
Zero Llama 3.1 8B Beta61048K / 16.1 GB2251
...xis Bookwriter Llama3.1 8B Sft1048K / 16.1 GB674
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB173
Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Meta-Llama-3-8B-Alternate-Tokenizer.

Rank the Meta Llama 3 8B Alternate Tokenizer 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? 51191 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.
Release v20241124
  Support LLM Explorer