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Llama 3.1 Nemotron 70B Instruct HF 8.0bpw 8hb EXL2 by bigstorm

 »  All LLMs  »  bigstorm  »  Llama 3.1 Nemotron 70B Instruct HF 8.0bpw 8hb EXL2   URL Share it on

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  Arxiv:2310.05344   Arxiv:2311.09528   Arxiv:2406.08673   Arxiv:2410.01257   8-bit   Autotrain compatible Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational   Dataset:nvidia/helpsteer2   En   Exl2   Instruct   Llama   Llama3.1   Nvidia   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bigstorm/Llama-3.1-Nemotron-70B-Instruct-HF-8.0bpw-8hb-exl2 

Llama 3.1 Nemotron 70B Instruct HF 8.0bpw 8hb EXL2 Benchmarks

LLME Score: 0.24375
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 Nemotron 70B Instruct HF 8.0bpw 8hb EXL2 (bigstorm/Llama-3.1-Nemotron-70B-Instruct-HF-8.0bpw-8hb-exl2)

Llama 3.1 Nemotron 70B Instruct HF 8.0bpw 8hb EXL2 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
General-domain instruction following
Limitations:
Not tuned for performance in specialized domains like math
Additional Notes 
This model is a demonstration of NVIDIA's techniques for improving helpfulness in general-domain instruction following. Evaluation results might differ from when the model is evaluated in NeMo-Aligner.
Supported Languages 
en (Native)
Training Details 
Data Sources:
nvidia/HelpSteer2
Methodology:
Trained using RLHF (specifically, REINFORCE), HelpSteer2-Preference prompts and Llama-3.1-Nemotron-70B-Instruct as initial policy.
Context Length:
128000
Model Architecture:
Transformer
Input Output 
Input Format:
String
Accepted Modalities:
Text
Output Format:
String
LLM NameLlama 3.1 Nemotron 70B Instruct HF 8.0bpw 8hb EXL2
Repository 🤗https://huggingface.co/bigstorm/Llama-3.1-Nemotron-70B-Instruct-HF-8.0bpw-8hb-exl2 
Base Model(s)  meta-llama/Llama-3.1-70B-Instruct   meta-llama/Llama-3.1-70B-Instruct
Model Size70b
Required VRAM64.3 GB
Updated2024-12-22
Maintainerbigstorm
Model Typellama
Instruction-BasedYes
Model Files  8.5 GB: 1-of-8   8.4 GB: 2-of-8   8.4 GB: 3-of-8   8.5 GB: 4-of-8   8.6 GB: 5-of-8   8.4 GB: 6-of-8   8.4 GB: 7-of-8   5.1 GB: 8-of-8
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama 3.1 Nemotron 70B Instruct HF 8.0bpw 8hb EXL2 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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Release v20241217
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