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Meta Llama 3 8B Instruct Bnb 8bit by alokabhishek

 »  All LLMs  »  alokabhishek  »  Meta Llama 3 8B Instruct Bnb 8bit   URL Share it on

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  Arxiv:2305.14314   8-bit   8b   8bit   Autotrain compatible   Bitsandbytes   Bnb   Conversational   Endpoints compatible   Facebook   Instruct   Llama   Llama-3   Meta   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/alokabhishek/Meta-Llama-3-8B-Instruct-bnb-8bit 

Meta Llama 3 8B Instruct Bnb 8bit Benchmarks

LLME Score: 0.15798
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 Instruct Bnb 8bit (alokabhishek/Meta-Llama-3-8B-Instruct-bnb-8bit)
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Meta Llama 3 8B Instruct Bnb 8bit Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat
Primary Use Cases:
Dialogue, Text generation
Limitations:
Use beyond English, prohibited by license
Considerations:
Developers can fine-tune for languages beyond English within policy constraints.
Additional Notes 
Optimized for efficiency using 8-bit quantization by bitsandbytes.
Supported Languages 
English (Proficient)
Training Details 
Data Sources:
Publicly available online data
Data Volume:
15 trillion tokens
Methodology:
Pretrained and instruction tuned with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
8000
Training Time:
7.7M GPU hours
Hardware Used:
H100-80GB GPUs
Model Architecture:
Auto-regressive transformer model
Safety Evaluation 
Methodologies:
Red teaming, Adversarial evaluations
Findings:
Conducted extensive risk assessments and implemented mitigation techniques
Risk Categories:
Misinformation, Bias, Child Safety, Cybersecurity
Ethical Considerations:
Emphasis placed on responsible AI development.
Responsible Ai Considerations 
Fairness:
Aimed at inclusivity and helpfulness without unnecessary judgment.
Transparency:
Open approach to AI intended for a wide range of applications.
Accountability:
Developers are advised to incorporate additional safety tools.
Mitigation Strategies:
Purple Llama solutions, Llama Guard for safeguards.
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use proper prompt structuring for best results.
Release Notes 
Version:
1.0
Date:
2024-04-18
Notes:
Initial release of 8-bit quantized version
LLM NameMeta Llama 3 8B Instruct Bnb 8bit
Repository 🤗https://huggingface.co/alokabhishek/Meta-Llama-3-8B-Instruct-bnb-8bit 
Base Model(s)  Meta Llama 3 8B Instruct FP8   neuralmagic/Meta-Llama-3-8B-Instruct-FP8
Model Size8b
Required VRAM9.1 GB
Updated2025-09-23
Maintaineralokabhishek
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Quantization Type8bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than alokabhishek/Meta-Llama-3-8B-Instruct-bnb-8bit.

Rank the Meta Llama 3 8B Instruct Bnb 8bit 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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