What are the hardware requirements for VRPRM Rl?

VRPRM Rl requires approximately 17.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed VRPRM Rl and how large is it?

VRPRM Rl is developed by two-tiger, a model with 8b 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 VRPRM Rl?

VRPRM Rl is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

VRPRM Rl by two-tiger — VRAM 17.5GB

Name: VRPRM Rl
Author: two-tiger

VRPRM Rl is an open-source language model by two-tiger. Features: 8b LLM, VRAM: 17.5GB, License: apache-2.0, LLM Explorer Score: 0.27.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-vl-8b-th... Conversational Endpoints compatible Image-text-to-text Math Multimodal Process-reward-model Qwen3 vl Region:us Safetensors Sharded Tensorflow Visual-reasoning

Model Card on HF 🤗: https://huggingface.co/two-tiger/VRPRM-rl

VRPRM Rl Parameters and Internals

LLM Name	VRPRM Rl
Repository 🤗	https://huggingface.co/two-tiger/VRPRM-rl
Base Model(s)	Qwen3 VL 8B Thinking Qwen/Qwen3-VL-8B-Thinking
Model Size	8b
Required VRAM	17.5 GB
Updated	2026-10-17
Maintainer	two-tiger
Model Type	qwen3_vl
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 2.7 GB: 4-of-4
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the VRPRM Rl 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 VRPRM Rl

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
Holo2 8B	0K / 17.5 GB	1924	30
AesCode 8B	0K / 17.5 GB	356	57
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
Qwen3vl Resume Parser	0K / 17.5 GB	257455	3
PhysBrain1.5 8B	0K / 17.8 GB	638	27
Microsoft AesCode 8B MLX	0K / 17.6 GB	110	2
Qwen3 VL 8B Thinking	0K / 17.5 GB	107015	220
Qwen3 VL 8B Heretic 1.3.0	0K / 17.5 GB	4653	12
Uzocr 8B	0K / 17.5 GB	66	1

Note: green Score (e.g. "73.2") means that the model is better than two-tiger/VRPRM-rl.