What are the hardware requirements for Rainbow 69 7B?

Rainbow 69 7B requires approximately 14.4 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 Rainbow 69 7B and how large is it?

Rainbow 69 7B is developed by jeiku, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Rainbow 69 7B?

Rainbow 69 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rainbow 69 7B by jeiku — VRAM 14.4GB, 8K context

Name: Rainbow 69 7B
Author: jeiku

Rainbow 69 7B is an open-source language model by jeiku. Features: 7b LLM, VRAM: 14.4GB, Context: 8K, Merged, LLM Explorer Score: 0.11.

Merged Model Arxiv:2212.04089 Base model:jeiku/gnosis reform... Base model:jeiku/theory of min... Base model:jeiku/theory of min... Base model:undi95/mistral-7b-s... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jeiku/Rainbow_69_7B

Rainbow 69 7B Parameters and Internals

Additional Notes

This is a merge of pre-trained language models using the task arithmetic merge method created using mergekit.

LLM Name	Rainbow 69 7B
Repository 🤗	https://huggingface.co/jeiku/Rainbow_69_7B
Base Model(s)	Theory Of Mind Mistral Gnosis Reformatted Mistral Undi95/Mistral-7B-small_pippa_limaRP-v3-lora ...heory Of Mind Roleplay Mistral jeiku/Theory_of_Mind_Mistral jeiku/Gnosis_Reformatted_Mistral Undi95/Mistral-7B-small_pippa_limaRP-v3-lora jeiku/Theory_of_Mind_Roleplay_Mistral
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-17
Maintainer	jeiku
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Rainbow 69 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 Rainbow 69 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 jeiku/Rainbow_69_7B.