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ColQwen3.5-v2 4.5B Tops Retrieval Leaderboard

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๐Ÿค–Read original on Reddit r/MachineLearning
#multimodal-retrieval#vision-language#benchmarkcolqwen3.5-v2-4.5b

๐Ÿ’กOpen-weight model tops ViDoRe V3 leaderboard, beats priors with simpler training

โšก 30-Second TL;DR

What Changed

ViDoRe V3 nDCG@10: 0.6177 (leaderboard top)

Why It Matters

Advances open-source multimodal retrieval, narrowing gap to proprietary models like TomoroAI. Enables better document understanding in vision-language tasks for practitioners.

What To Do Next

Download from https://huggingface.co/athrael-soju/colqwen3.5-4.5B-v2 and benchmark on ViDoRe.

Who should care:Researchers & Academics

๐Ÿง  Deep Insight

Web-grounded analysis with 4 cited sources.

๐Ÿ”‘ Enhanced Key Takeaways

  • โ€ขColQwen3.5-v2 4.5B was uploaded to Hugging Face by athrael-soju around March 12, 2026, gaining quick traction with 6 upvotes on Hype leaderboard.[1][3]
  • โ€ขPredecessor ColQwen3.5-v1, also a 4.5B parameter model on Qwen3.5-4B, utilized the ColPali late-interaction approach for visual document retrieval.[2]
  • โ€ขThe model release was highlighted in a Reddit r/MachineLearning post titled '[P] ColQwen3.5-v2 4.5B is out!' on March 13, 2026.[3]

๐Ÿ”ฎ Future ImplicationsAI analysis grounded in cited sources

ColQwen3.5 series will inspire more open-source adaptations of Qwen base models for retrieval tasks
Its Apache 2.0 release and leaderboard success demonstrate a viable, simplified training recipe that others can replicate on Hugging Face.
ViDoRe leaderboard will see increased competition in 4B-scale visual retrieval models by mid-2026
Topping ViDoRe V3 with a 4.5B model sets a new benchmark, prompting similar-sized challengers as seen in recent Hype listings.

โณ Timeline

2026-03
ColQwen3.5-v1 released as 4.5B visual document retrieval model based on Qwen3.5-4B with ColPali approach
2026-03-12
ColQwen3.5-v2 4.5B uploaded to Hugging Face by athrael-soju
2026-03-13
ColQwen3.5-v2 tops ViDoRe V3 leaderboard and posted on r/MachineLearning

๐Ÿ“Ž Sources (4)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

  1. hype.replicate.dev
  2. djamgatech.com โ€” Aws Machine Learning Certification Specialty Exam Prep
  3. hype.replicate.dev
  4. 4u.ai
๐Ÿค–Read original article on Reddit r/MachineLearning
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