What are the hardware requirements for LuminRP 7B 128K V0.5?

LuminRP 7B 128K V0.5 requires approximately 14.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LuminRP 7B 128K V0.5 and how large is it?

LuminRP 7B 128K V0.5 is developed by Ppoyaa, 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 LuminRP 7B 128K V0.5?

LuminRP 7B 128K V0.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LuminRP 7B 128K V0.5 by Ppoyaa — VRAM 14.5GB, 128K context

Name: LuminRP 7B 128K V0.5
Author: Ppoyaa

LuminRP 7B 128K V0.5 is an open-source language model by Ppoyaa. Features: 7b LLM, VRAM: 14.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.12.

Conversational Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Ppoyaa/LuminRP-7B-128k-v0.5

LuminRP 7B 128K V0.5 Parameters and Internals

Model Type

text generation, roleplaying

Additional Notes

This is a merge of various models specializing in roleplaying, aimed at fixing issues present in the previous version, v0.4. The model is suggested to perform better in RP and ERP scenarios than the earlier version.

LLM Name	LuminRP 7B 128K V0.5
Repository 🤗	https://huggingface.co/Ppoyaa/LuminRP-7B-128k-v0.5
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-05-27
Maintainer	Ppoyaa
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.6 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the LuminRP 7B 128K V0.5 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

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MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
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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 Ppoyaa/LuminRP-7B-128k-v0.5.