What are the hardware requirements for RP Vision 7B?

RP Vision 7B requires approximately 14.5 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed RP Vision 7B and how large is it?

RP Vision 7B is developed by ChaoticNeutrals, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does RP Vision 7B perform on standard benchmarks?

RP Vision 7B has the following published scores: MMLU 64.58. Compare against reference models on this page or on the LLM Explorer leaderboards.

RP Vision 7B by ChaoticNeutrals — VRAM 14.5GB, 8K context

Name: RP Vision 7B
Author: ChaoticNeutrals

RP Vision 7B is an open-source language model by ChaoticNeutrals. Features: 7b LLM, VRAM: 14.5GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 70.7, HellaSwag: 87.8, MMLU: 64.6, 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 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 Name	RP Vision 7B
Repository 🤗	https://huggingface.co/ChaoticNeutrals/RP_Vision_7B
Base Model(s)	Cookie 7B jeiku/Cookie_7B
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-10-21
Maintainer	ChaoticNeutrals
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.6 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the RP Vision 7B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to RP Vision 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

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