Who developed Veridoc Extract Qwen3 0.6B Lora and how large is it?

Veridoc Extract Qwen3 0.6B Lora is developed by dmitttrov, a model with 0.6b 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 Veridoc Extract Qwen3 0.6B Lora?

Veridoc Extract Qwen3 0.6B Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Veridoc Extract Qwen3 0.6B Lora by dmitttrov

Name: Veridoc Extract Qwen3 0.6B Lora
Author: dmitttrov

Veridoc Extract Qwen3 0.6B Lora is an open-source language model by dmitttrov. Features: 0.6b LLM, License: apache-2.0, LLM Explorer Score: 0.27.

Adapter Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-0.6b Financial-extraction Finetuned Lora Peft Rag Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/dmitttrov/veridoc-extract-qwen3-0.6b-lora

Veridoc Extract Qwen3 0.6B Lora Parameters and Internals

LLM Name	Veridoc Extract Qwen3 0.6B Lora
Repository 🤗	https://huggingface.co/dmitttrov/veridoc-extract-qwen3-0.6b-lora
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	0 GB
Updated	2026-10-19
Maintainer	dmitttrov
Model Files	0.0 GB
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|o_proj\|up_proj\|gate_proj\|down_proj\|k_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

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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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