What are the hardware requirements for Surya Parsebench Rl?

Surya Parsebench Rl requires approximately 1.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Surya Parsebench Rl and how large is it?

Surya Parsebench Rl is developed by datalab-to, a model with 665.7m 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 Surya Parsebench Rl?

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

Surya Parsebench Rl by datalab-to — VRAM 1.3GB

Name: Surya Parsebench Rl
Author: datalab-to

Surya Parsebench Rl is an open-source language model by datalab-to. Features: 665.7m LLM, VRAM: 1.3GB, License: openrail, LLM Explorer Score: 0.26.

Base model:datalab-to/surya-oc... Base model:finetune:datalab-to... Conversational Document-parsing Endpoints compatible Image-text-to-text Ocr Parsebench Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/datalab-to/surya-parsebench-rl

Surya Parsebench Rl Parameters and Internals

LLM Name	Surya Parsebench Rl
Repository 🤗	https://huggingface.co/datalab-to/surya-parsebench-rl
Base Model(s)	Surya Ocr 2 datalab-to/surya-ocr-2
Model Size	665.7m
Required VRAM	1.3 GB
Updated	2026-10-19
Maintainer	datalab-to
Model Type	qwen3_5
Model Files	1.3 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	openrail
Transformers Version	5.12.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>

Rank the Surya Parsebench 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 Surya Parsebench Rl

Best Alternatives	Context / RAM	Downloads	Likes
Bina 0.1 Koochik	0K / 1.3 GB	3365	29
Bina 0.3 Koochik	0K / 1.3 GB	245	2
Bina 0.1 Koochik FP16	0K / 1.3 GB	88	0

Note: green Score (e.g. "73.2") means that the model is better than datalab-to/surya-parsebench-rl.