Llama 3 8B 1M PoSE by winglian

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  Arxiv:2309.10400   Autotrain compatible   Axolotl   En   Endpoints compatible   Facebook   Llama   Llama-3   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B 1M PoSE Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B 1M PoSE (winglian/llama-3-8b-1m-PoSE)

Llama 3 8B 1M PoSE Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat, natural language generation tasks
Limitations:
Out-of-scope for violating laws, Use in languages other than English
Considerations:
Fine-tuning for languages beyond English is allowed under specific licenses
Additional Notes 
The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on industry benchmarks.
Supported Languages 
en (high)
Training Details 
Data Sources:
publicly available online data, SlimPajama
Data Volume:
15 trillion tokens
Methodology:
Auto-regressive language model with optimized transformer architecture
Context Length:
8000
Hardware Used:
H100-80GB (TDP of 700W)
Model Architecture:
Transformer with Grouped-Query Attention (GQA)
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Risk Categories:
misinformation, bias
Responsible Ai Considerations 
Mitigation Strategies:
safety tools and evaluations (e.g., Purple Llama)
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text and code
LLM NameLlama 3 8B 1M PoSE
Repository ๐Ÿค—https://huggingface.co/winglian/llama-3-8b-1m-PoSE 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerwinglian
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
Context Length1048576
Model Max Length1048576
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than winglian/llama-3-8b-1m-PoSE.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227