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Meta Llama 3 8B Instruct FP8 by neuralmagic

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Model Card on HF 🤗: https://huggingface.co/neuralmagic/Meta-Llama-3-8B-Instruct-FP8 

Meta Llama 3 8B Instruct FP8 Benchmarks

LLME Score: 0.25026
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 FP8 (neuralmagic/Meta-Llama-3-8B-Instruct-FP8)

Meta Llama 3 8B Instruct FP8 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Primary Use Cases:
assistant-like chat
Limitations:
Use in languages other than English., Use in any manner that violates applicable laws or regulations.
Additional Notes 
This model is optimized using weight and activation quantization, reducing disk size and memory requirements.
Supported Languages 
en (primary)
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text
Release Notes 
Version:
1.0
Date:
6/8/2024
Notes:
Quantized version of the Meta-Llama-3-8B-Instruct model to FP8 data type for optimized deployment.
LLM NameMeta Llama 3 8B Instruct FP8
Repository 🤗https://huggingface.co/neuralmagic/Meta-Llama-3-8B-Instruct-FP8 
Model Size8b
Required VRAM9.1 GB
Updated2024-12-14
Maintainerneuralmagic
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Meta Llama 3 8B Instruct FP8

Model
Likes
Downloads
VRAM
...Llama 3 8B Instruct GPTQ 8 Bit099 GB
...a Llama 3 8B Instruct Bnb 8bit1489 GB
... Llama 3 8B Instruct GPTQ Int82379 GB

Best Alternatives to Meta Llama 3 8B Instruct FP8

Best Alternatives
Context / RAM
Downloads
Likes
...a 3 8B Instruct Gradient 1048K1024K / 16.1 GB14046677
Test V0.7z 8B1024K / 16.1 GB760
Test V0.6c 8B1024K / 16.1 GB670
Test V0.6l 8B1024K / 16.1 GB510
Test V0.7i 8B1024K / 16.1 GB470
Test V0.6M 8B1024K / 16.1 GB230
Test V0.7h 8B1024K / 16.1 GB180
Test V0.6n 8B1024K / 16.1 GB140
L3.1 Gradient1024K / 16.1 GB80
...SLERP Gradient1048k OpenBioLLM1024K / 16.1 GB390
Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/Meta-Llama-3-8B-Instruct-FP8.

Rank the Meta Llama 3 8B Instruct FP8 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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