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RP Vision 7B by ChaoticNeutrals

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RP Vision 7B is an open-source language model by ChaoticNeutrals. Features: 7b LLM, VRAM: 14.5GB, Context: 8K, License: apache-2.0, HF Score: 72.7, LLM Explorer Score: 0.14, Arc: 70.7, HellaSwag: 87.8, MMLU: 64.6, TruthfulQA: 68.5, WinoGrande: 82.6, GSM8K: 62.1.

  Base model:jeiku/cookie 7b Base model:quantized:jeiku/coo...   En   Endpoints compatible   Gguf   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Vision
Model Card on HF 🤗: https://huggingface.co/ChaoticNeutrals/RP_Vision_7B 

RP Vision 7B Benchmarks

ARC: 70.65 vs 96.7 (so35)-26.9%
HellaSwag: 87.81 vs 95.3 (gpt4)-7.9%
MMLU: 64.58 vs 88.3 (so35)-26.9%
TruthfulQA: 68.5 vs 59 (gpt4)16.1%
WinoGrande: 82.64 vs 87.5 (gpt4)-5.6%
GSM8K: 62.09 vs 96.4 (so35)-35.6%
LLME Score: 0.13709
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RP Vision 7B (ChaoticNeutrals/RP_Vision_7B)
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RP Vision 7B Parameters and Internals

Model Type 
vision, multimodal
Additional Notes 
Vision is only compatible with the latest versions of Koboldcpp at this time. To use its vision/multimodal capabilities, you need to load the specified mmproj file.
Supported Languages 
en (proficient)
LLM NameRP Vision 7B
Repository 🤗https://huggingface.co/ChaoticNeutrals/RP_Vision_7B 
Base Model(s)  Cookie 7B   jeiku/Cookie_7B
Model Size7b
Required VRAM14.5 GB
Updated2026-03-26
MaintainerChaoticNeutrals
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/RP_Vision_7B.

Rank the RP Vision 7B 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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