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Llama3 Tw 8B Instruct by DavidLanz

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Model Card on HF 🤗: https://huggingface.co/DavidLanz/Llama3-tw-8B-Instruct 

Llama3 Tw 8B Instruct Benchmarks

LLME Score: 0.16131
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 Tw 8B Instruct (DavidLanz/Llama3-tw-8B-Instruct)
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Llama3 Tw 8B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
NLP applications, assistant chat models
Primary Use Cases:
assistant-like chat, natural language generation
Limitations:
Only tested in English, Cannot cover all scenarios
Considerations:
When using for other languages beyond English, compliance with the Llama 3 Community License and Acceptable Use Policy is necessary.
Additional Notes 
Safety focus with responsible AI considerations. Emphasized community collaboration for further enhancements.
Training Details 
Data Sources:
A new mix of publicly available online data
Data Volume:
15T+ tokens
Context Length:
8000
Hardware Used:
Meta's Research SuperCluster, third-party cloud compute
Model Architecture:
Auto-regressive language model using an optimized transformer architecture
Safety Evaluation 
Methodologies:
extensive red teaming, adversarial evaluations
Findings:
> Llama 3 is less likely to falsely refuse prompts than Llama 2 after safety tuning.
Risk Categories:
Child Safety
Ethical Considerations:
Responsibility for AI system safety on user.
Responsible Ai Considerations 
Transparency:
Community collaboration on safety benchmarks.
Accountability:
Developers are responsible for ensuring model safety in released applications.
Mitigation Strategies:
Used responsible release protocols and safety benchmarking.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text, code
Performance Tips:
Use transformers for better results.
Release Notes 
Version:
3
Date:
April 18, 2024
Notes:
First release of Llama 3 family of models.
LLM NameLlama3 Tw 8B Instruct
Repository 🤗https://huggingface.co/DavidLanz/Llama3-tw-8B-Instruct 
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
MaintainerDavidLanz
Model Typellama
Instruction-BasedYes
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 Languageszh en
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128258
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than DavidLanz/Llama3-tw-8B-Instruct.

Rank the Llama3 Tw 8B Instruct 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 v20241124
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