NQLSG-Qwen2-VL-2B-v2-Base

Lunzima/NQLSG-Qwen2-VL-2B-v2-Base

NQLSG-Qwen2-VL-2B-v2-Base is a image-text-to-text model from Lunzima. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.

This is a merge of pre-trained language models created using mergekit.

Downloads · 30 days

19% of all-time downloads

All-time downloads

190

Public

Parameters

2.2B

4.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors4.4 GB · 100%

At a glance

Task: Image-Text-to-Text
Library: transformers
Model type: qwen2_vl
Access: Public
Created: Mar 30, 2025
Updated: Apr 3, 2025
SHA: 994ead2f

Try a prompt

Base models

Model card

From the Hugging Face model README

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the linear merge method using Qwen/Qwen2-VL-2B-Instruct as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: prithivMLmods/Blazer.1-2B-Vision
  - model: prithivMLmods/Caption-Pro
  - model: prithivMLmods/ChemQwen2-vL
  - model: prithivMLmods/JSONify-Flux
  - model: prithivMLmods/LatexMind-2B-Codec
  - model: prithivMLmods/Omni-Reasoner-2B
  - model: prithivMLmods/QvQ-Step-Tiny
  - model: prithivMLmods/Qwen2-VL-OCR2-2B-Instruct
  - model: prithivMLmods/Qwen2-VL-OCR-2B-Instruct
  - model: prithivMLmods/Radiology-Infer-Mini
  - model: Qwen/Qwen2-VL-2B-Instruct
  - model: Qwen/Qwen2-VL-2B
merge_method: linear
base_model: Qwen/Qwen2-VL-2B-Instruct
parameters:
  weight: 0.5
  normalize: true
  int8_mask: true
dtype: bfloat16

Task: Image-Text-to-Text
Library: transformers
Type: qwen2_vl
Created: Mar 30, 2025
Updated: Apr 3, 2025