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Meta Llama 3 70B Fp8 by FriendliAI

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Meta Llama 3 70B Fp8 is an open-source language model by FriendliAI. Features: 70b LLM, VRAM: 72.7GB, Context: 8K, License: other, Instruction-Based, LLM Explorer Score: 0.13.

  8-bit Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   En   Facebook   Instruct   Llama   Llama-3   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FriendliAI/Meta-Llama-3-70B-fp8 

Meta Llama 3 70B Fp8 Benchmarks

LLME Score: 0.13025
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 Fp8 (FriendliAI/Meta-Llama-3-70B-fp8)
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Meta Llama 3 70B Fp8 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation
Primary Use Cases:
Instruction-tuned models are optimized for dialogue.
Limitations:
Use in languages other than English., Use in prohibited ways by the Acceptable Use Policy and Llama 3 Community License., Models trained on specific datasets; may produce inaccurate or biased outputs.
Considerations:
Developers may fine-tune for languages beyond English per the Community License and Policy.
Additional Notes 
Enhanced inference efficiency by quantizing to FP8.
Training Details 
Data Sources:
A new mix of publicly available online data
Data Volume:
15T+ tokens
Methodology:
fine-tuning with supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF)
Context Length:
8000
Hardware Used:
Meta's Research SuperCluster, H100-80GB GPUs
Model Architecture:
Auto-regressive language model with optimized transformer architecture
Safety Evaluation 
Methodologies:
adversarial evaluations, red-teaming exercises
Findings:
residual risks expected, emphasis on mitigations for over-refusing prompts
Risk Categories:
CBRNE threats, Cyber security, Child safety
Responsible Ai Considerations 
Mitigation Strategies:
Implemented series of safety tools such as Meta Llama Guard 2 and Code Shield
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text, code
Release Notes 
Version:
3
Date:
April 18, 2024
Notes:
Meta developed and released the Meta Llama 3 family of large language models (LLMs).
LLM NameMeta Llama 3 70B Fp8
Repository 🤗https://huggingface.co/FriendliAI/Meta-Llama-3-70B-fp8 
Model NameLlama 3 70B
Model CreatorMeta Llama 3
Base Model(s)  Meta Llama 3 70B Instruct   meta-llama/Meta-Llama-3-70B-Instruct
Model Size70b
Required VRAM72.7 GB
Updated2026-03-29
MaintainerFriendliAI
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-8   9.9 GB: 2-of-8   9.8 GB: 3-of-8   9.9 GB: 4-of-8   9.8 GB: 5-of-8   9.9 GB: 6-of-8   9.8 GB: 7-of-8   3.7 GB: 8-of-8
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
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 70B Fp8

Model
Likes
Downloads
VRAM
Meta Llama 3 70B GPTQ3139 GB

Best Alternatives to Meta Llama 3 70B Fp8

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Context / RAM
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Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB90695
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB80224
... 3 70B Instruct Gradient 1048K1024K / 141.9 GB13122
Llama3 Function Calling 1048K1024K / 141.9 GB61
...a 3 70B Instruct Gradient 524K512K / 141.9 GB1023
...a 3 70B Instruct Gradient 262K256K / 141.9 GB1856
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB303
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB130
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB93
Llama 3.1 70B Instruct128K / 141.9 GB1008029904
Note: green Score (e.g. "73.2") means that the model is better than FriendliAI/Meta-Llama-3-70B-fp8.

Rank the Meta Llama 3 70B Fp8 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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