RLAIF V 7B by openbmb

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RLAIF V 7B is an open-source language model by openbmb. Features: 7b LLM, VRAM: 14.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.14.

  Arxiv:2312.00849   Arxiv:2405.17220 Dataset:openbmb/rlaif-v-datase...   En   Endpoints compatible   Llava llama   Region:us   Safetensors   Sharded   Tensorflow

RLAIF V 7B Benchmarks

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

RLAIF V 7B Parameters and Internals

Model Type 
text generation, alignment with human feedback
Use Cases 
Areas:
AI alignment, Trustworthiness improvement
Additional Notes 
Aligned with human preferences using large-scale AI feedback for improved trustworthiness.
Supported Languages 
en (English)
Training Details 
Data Sources:
openbmb/RLAIF-V-Dataset
Methodology:
RLAIF-V framework utilizing AI feedback for human preference alignment.
Model Architecture:
Derived from LLaVA 1.5 7B.
LLM NameRLAIF V 7B
Repository 🤗https://huggingface.co/openbmb/RLAIF-V-7B 
Model Size7b
Required VRAM14.1 GB
Updated2026-04-17
Maintaineropenbmb
Model Typellava_llama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.2 GB: 3-of-3   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than openbmb/RLAIF-V-7B.

Rank the RLAIF V 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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Release v20260328a