Llama 3 8B Instruct Gradient 1048K Bpw6 EXL2 by blockblockblock

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  Arxiv:2305.14233   Arxiv:2309.00071   Arxiv:2402.08268   6-bit   Autotrain compatible   Conversational   En   Endpoints compatible   Exl2   Instruct   Llama   Llama-3   Meta   Quantized   Region:us   Safetensors

Llama 3 8B Instruct Gradient 1048K Bpw6 EXL2 Benchmarks

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Llama 3 8B Instruct Gradient 1048K Bpw6 EXL2 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial use, research
Applications:
assistant-like chat, natural language generation tasks
Primary Use Cases:
pretrained: general language generation, tuned: chat and assistance
Limitations:
Out-of-scope uses that violate policies or laws, limited to English
Considerations:
Possible inaccuracies, biases, and objectionable content.
Additional Notes 
Supports long contexts over 1040K.
Supported Languages 
English (full)
Training Details 
Data Sources:
SlimPajama, UltraChat
Data Volume:
1.4B tokens total for all stages
Methodology:
NTK-aware interpolation for RoPE theta, progressive training on increasing context lengths
Context Length:
1048
Hardware Used:
NVIDIA L40S
Model Architecture:
auto-regressive transformer with RingAttention
Safety Evaluation 
Methodologies:
extensive red teaming, adversarial evaluations
Risk Categories:
CBRNE, Cyber Security, Child Safety
Ethical Considerations:
Iterative testing during model training to assess the safety of responses related to CBRNE threats and other adversarial risks.
Responsible Ai Considerations 
Fairness:
Safety benchmark standards transparency, comprehensive safety safeguards.
Transparency:
Open approach to AI with community involvement.
Accountability:
Developers responsible for safety deployment based on use case.
Mitigation Strategies:
Use of Purple Llama solutions, thorough safety guides.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text, code
Performance Tips:
Use supervised fine-tuning and reinforcement learning with human feedback for optimal results.
LLM NameLlama 3 8B Instruct Gradient 1048K Bpw6 EXL2
Repository ๐Ÿค—https://huggingface.co/blockblockblock/Llama-3-8B-Instruct-Gradient-1048k-bpw6-exl2 
Base Model(s)  ... Instruct Gradient 1048K Agent   AIGym/Llama-3-8B-Instruct-Gradient-1048k-Agent
Model Size8b
Required VRAM6.7 GB
Updated2024-12-02
Maintainerblockblockblock
Model Typellama
Instruction-BasedYes
Model Files  6.7 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length1048576
Model Max Length1048576
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 8B Instruct Gradient 1048K Bpw6 EXL2 (blockblockblock/Llama-3-8B-Instruct-Gradient-1048k-bpw6-exl2)

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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 v20241124