Nous Hermes 2 Vision Alpha by NousResearch

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Nous Hermes 2 Vision Alpha Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nous Hermes 2 Vision Alpha (NousResearch/Nous-Hermes-2-Vision-Alpha)

Nous Hermes 2 Vision Alpha Parameters and Internals

Model Type 
Vision-Language Model, Vision-Language Action Model
Supported Languages 
en (fluent)
Training Details 
Data Sources:
LVIS-INSTRUCT4V, ShareGPT4V, Private Function Calling Data, OpenHermes-2.5
Input Output 
Input Format:
Vicuna-V1 prompt template (conv_llava_v1)
Accepted Modalities:
text, image
LLM NameNous Hermes 2 Vision Alpha
Repository ๐Ÿค—https://huggingface.co/NousResearch/Nous-Hermes-2-Vision-Alpha 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM15.3 GB
Updated2025-02-22
MaintainerNousResearch
Model Typellava_mistral
Model Files  0.0 GB   9.9 GB: 1-of-2   5.4 GB: 2-of-2   0.0 GB
Supported Languagesen
Model ArchitectureLlavaMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32002
Torch Data Typebfloat16

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

Rank the Nous Hermes 2 Vision Alpha 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 v20241227