What are the hardware requirements for InfinityRP V1 7B?

InfinityRP V1 7B requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed InfinityRP V1 7B and how large is it?

InfinityRP V1 7B is developed by Endevor, 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 InfinityRP V1 7B?

InfinityRP V1 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

InfinityRP V1 7B by Endevor — VRAM 14.4GB, 32K context

Name: InfinityRP V1 7B
Author: Endevor

InfinityRP V1 7B is an open-source language model by Endevor. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11.

Autotrain compatible En Endpoints compatible Mistral Not-for-all-audiences Nsfw Region:us Roleplay Rp Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Endevor/InfinityRP-v1-7B

InfinityRP V1 7B Parameters and Internals

Model Type

text generation

Use Cases

Primary Use Cases:

roleplay, conversational AI

Limitations:

may not work for humongous, extreme, unlimited response lengths

Additional Notes

The model is experimental and not yet optimized, focusing on reducing hallucinations and creating a comfortable conversational experience. Inspired by another model ('lemonilia/Limamono-Mistral-7B-v0.50').

Supported Languages

en (proficient)

Input Output

Input Format:

Extended Alpaca

Performance Tips:

To increase thought occurrence, add '{{char}} internal thoughts are wrapped with ` marks.' to system prompt.

LLM Name	InfinityRP V1 7B
Repository 🤗	https://huggingface.co/Endevor/InfinityRP-v1-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2025-09-23
Maintainer	Endevor
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the InfinityRP V1 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 InfinityRP V1 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 Endevor/InfinityRP-v1-7B.