Model: mradermacher/QwenStoryteller2-i1-GGUF
Author: mradermacher
Pipeline: image-to-text
Library: transformers
Tags: transformers, gguf, vision-language-model, visual-storytelling, chain-of-thought, grounded-text-generation, cross-frame-consistency, storytelling, image-to-text, contrastive-learning, reinforcement-learning, entity-reidentification, en, dataset:daniel3303/StoryReasoningAdversarialDPO, dataset:daniel3303/StoryReasoning, base_model:daniel3303/QwenStoryteller2, base_model:quantized:daniel3303/QwenStoryteller2, license:apache-2.0, endpoints_compatible, region:us, imatrix, conversational
Base models (quantized): id: daniel3303/QwenStoryteller2
Card metadata: base_model: daniel3303/QwenStoryteller2
datasets: daniel3303/StoryReasoningAdversarialDPO, daniel3303/StoryReasoning
language: en
library_name: transformers
license: apache-2.0
mradermacher: readme_rev: 1
quantized_by: mradermacher
tags: vision-language-model, visual-storytelling, chain-of-thought, grounded-text-generation, cross-frame-consistency, storytelling, image-to-text, contrastive-learning, reinforcement-learning, entity-reidentification
Likes: 0 | All-time downloads: 9313
Created: 2025-07-02 20:36:53