Nous Hermes Llama 2 7B by NousResearch

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  Autotrain compatible   Distillation   En   Endpoints compatible   Llama   Llama2   Pytorch   Region:us   Safetensors   Self-instruct   Synthetic instruction

Nous Hermes Llama 2 7B Benchmarks

Nous Hermes Llama 2 7B (NousResearch/Nous-Hermes-llama-2-7b)

Nous Hermes Llama 2 7B Parameters and Internals

Model Type 
language model
Additional Notes 
The model was trained using high-quality synthetic GPT-4 outputs to ensure exceptional quality in knowledge, task completion, and style.
Training Details 
Data Sources:
GPTeacher, Wizard LM, Nous Research Instruct Dataset, GPT4-LLM, Unnatural Instructions, Airoboros dataset, Camel-AI's domain expert datasets, CodeAlpaca dataset
Methodology:
Fine-tuning on over 300,000 instructions.
Context Length:
4096
Hardware Used:
8x A100 80GB DGX machine
Input Output 
Input Format:
Alpaca prompt format
LLM NameNous Hermes Llama 2 7B
Repository ๐Ÿค—https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b 
Model Size7b
Required VRAM13.5 GB
Updated2024-12-22
MaintainerNousResearch
Model Typellama
Model Files  13.5 GB   13.5 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Nous Hermes Llama 2 7B GGUF67492 GB
Nous Hermes Llama 2 7B AWQ2193 GB
Nous Hermes Llama 2 7B GGML34302 GB
Nous Hermes Llama 2 7B GPTQ9543 GB

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Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Nous-Hermes-llama-2-7b.

Rank the Nous Hermes Llama 2 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217