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Llama 3 8B 64K PoSE by winglian

 »  All LLMs  »  winglian  »  Llama 3 8B 64K PoSE   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/winglian/Llama-3-8b-64k-PoSE 

Llama 3 8B 64K PoSE Benchmarks

MMLU Pro: 16.3
GPQA: 1.45
MUSR: 3.08
BBH: 13.31
IFEval: 28.57 vs 88 (so35)-67.5%
MATH Lvl 5: 4.15
LLME Score: 0.21976
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 64K PoSE (winglian/Llama-3-8b-64k-PoSE)

Llama 3 8B 64K PoSE Parameters and Internals

Model Type 
text generation, instruction tuned
Use Cases 
Areas:
commercial applications, research
Applications:
assistant-like chat, natural language generation tasks
Primary Use Cases:
Instruction tuned applications for dialogue, Pretrained models adaptation for various tasks
Limitations:
Not intended for legal or medical advice
Considerations:
Developers should follow the Responsible Use Guide
Additional Notes 
Model includes tools for responsible AI practices.
Supported Languages 
English (Full proficiency)
Training Details 
Data Sources:
RedPajama V1
Data Volume:
15 trillion tokens
Methodology:
SFT, RLHF
Context Length:
64000
Hardware Used:
H100-80GB GPUs, Meta's Research SuperCluster
Model Architecture:
Auto-regressive transformer
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Risk Categories:
CBRNE threats, Cyber Security, Child Safety
Ethical Considerations:
Iterative testing and expert consultations conducted
Responsible Ai Considerations 
Fairness:
Comprehensive steps were taken to ensure fairness.
Transparency:
Open community collaboration and resources provided for transparency.
Accountability:
Meta is responsible for the model's deployment.
Mitigation Strategies:
Use of safeguards like Meta Llama Guard 2 and Code Shield
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text and code
Performance Tips:
Use appropriate hardware and settings for extended context.
Release Notes 
Version:
Version for transformers
Notes:
Optimized for usage with the transformer library.
LLM NameLlama 3 8B 64K PoSE
Repository 🤗https://huggingface.co/winglian/Llama-3-8b-64k-PoSE 
Model Size8b
Required VRAM16.1 GB
Updated2025-03-12
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 Length131072
Model Max Length131072
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3 8B 64K PoSE

Model
Likes
Downloads
VRAM
Llama 3 8B 64K PoSE 8bit198 GB

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Note: green Score (e.g. "73.2") means that the model is better than winglian/Llama-3-8b-64k-PoSE.

Rank the Llama 3 8B 64K PoSE Capabilities

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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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Release v20241227
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