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Meta Llama 3 70B Instruct FP8 V1 by comaniac

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  Autotrain compatible   Conversational   Endpoints compatible   Fp8   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/comaniac/Meta-Llama-3-70B-Instruct-FP8-v1 

Meta Llama 3 70B Instruct FP8 V1 Benchmarks

LLME Score: 0.18803
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 70B Instruct FP8 V1 (comaniac/Meta-Llama-3-70B-Instruct-FP8-v1)

Meta Llama 3 70B Instruct FP8 V1 Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
mgoin/ultrachat_2k
Methodology:
Quantization with AutoFP8.
Context Length:
4096
Model Architecture:
Weights and activations are per-tensor quantized to float8_e4m3
LLM NameMeta Llama 3 70B Instruct FP8 V1
Repository 🤗https://huggingface.co/comaniac/Meta-Llama-3-70B-Instruct-FP8-v1 
Model Size70b
Required VRAM72.7 GB
Updated2025-02-22
Maintainercomaniac
Model Typellama
Instruction-BasedYes
Model Files  4.8 GB: 1-of-15   5.0 GB: 2-of-15   4.9 GB: 3-of-15   4.9 GB: 4-of-15   4.9 GB: 5-of-15   5.0 GB: 6-of-15   4.9 GB: 7-of-15   4.9 GB: 8-of-15   4.9 GB: 9-of-15   5.0 GB: 10-of-15   4.9 GB: 11-of-15   4.9 GB: 12-of-15   4.9 GB: 13-of-15   5.0 GB: 14-of-15   3.8 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than comaniac/Meta-Llama-3-70B-Instruct-FP8-v1.

Rank the Meta Llama 3 70B Instruct FP8 V1 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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