What are the hardware requirements for Chandra Ocr 2 MTP Repacked?

Chandra Ocr 2 MTP Repacked requires approximately 9.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chandra Ocr 2 MTP Repacked and how large is it?

Chandra Ocr 2 MTP Repacked is developed by prithivMLmods, a model with 4.7b 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 Chandra Ocr 2 MTP Repacked?

Chandra Ocr 2 MTP Repacked is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chandra Ocr 2 MTP Repacked by prithivMLmods — VRAM 9.3GB

Name: Chandra Ocr 2 MTP Repacked
Author: prithivMLmods

Chandra Ocr 2 MTP Repacked is an open-source language model by prithivMLmods. Features: 4.7b LLM, VRAM: 9.3GB, License: openrail, LLM Explorer Score: 0.33.

Base model:datalab-to/chandra-... Base model:quantized:datalab-t... Conversational En Endpoints compatible Gguf Html Image-text-to-text Json Layout Llama-cli Llama-cpp Markdown Mtp Ocr Pdf Qwen3 5 Region:us Repack Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/chandra-ocr-2-MTP-Repacked

Chandra Ocr 2 MTP Repacked Parameters and Internals

LLM Name	Chandra Ocr 2 MTP Repacked
Repository 🤗	https://huggingface.co/prithivMLmods/chandra-ocr-2-MTP-Repacked
Base Model(s)	Chandra Ocr 2 datalab-to/chandra-ocr-2
Model Size	4.7b
Required VRAM	9.3 GB
Updated	2026-11-06
Maintainer	prithivMLmods
Model Type	qwen3_5
Model Files	5.1 GB: 1-of-2 4.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	openrail
Model Max Length	262144
Transformers Version	5.20.0
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
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Code Generation
Multi-Language Support and Translation

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