emretmrk/Qwen3.5-4B-TR-Finance-DAPT
AI model by emretmrk
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Model card & documentation
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Qwen3.5-4B-TR-Finance-DAPT is a Turkish and Turkish-finance adapted version of Qwen/Qwen3.5-4B. The model was adapted in two sequential stages: Training focused on improving Turkish language capability, Turkish financial-domain knowledge, and Turkish instruction following. This repository contains the standalone merged model weights obtained after merging the final LoRA adapter into the upstream model. It is the recommended repository for direct inference and benchmark / leaderboard submission. Bu model, Qwen/Qwen3.5-4B modelinin Türkçe dil yeteneğini ve özellikle Türkçe finans alanındaki bilgisini geliştirmek amacıyla iki aşamada eğitilmiştir: Bu repo, final LoRA adapter'ın ana modele merge edilmiş standalone model sürümüdür. Benchmark ve doğrudan inference için bu repo önerilir. Datasets Mixture DAPT hyperparameters The upstream Qwen3.5-4B architecture is multimodal. The exact loading API should follow the config.json stored in this repository. import torch from transformers import AutoProcessor, AutoModelForMultimodalLM MODEL\ID \= "emretmrk/Qwen3.5-4B-TR-Finance-DAPT" processor \= AutoProcessor.from\pretrained(MODEL\ID) model \= AutoModelForMultimodalLM.from\pretrained( MODEL\ID, torch\dtype="auto", device\map="auto", ) messages \=…
Read the full model card ↗ · Preview checked 2026-09-24T07:16:31.399Z
Inside the original model card — Document outline
- Qwen3.5-4B-TR-Finance-DAPT
- Türkçe Özet
- Model Details
- Training
- Stage 1 — DAPT / Continual Pre-training
- Training Stack
- Usage
- Evaluation
- Intended Use
- Limitations
- License and Dataset Terms
- Acknowledgements
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Model overview
emretmrk/Qwen3.5-4B-TR-Finance-DAPT is a task-unspecified model repository published by emretmrk on Hugging Face. A library was not reported.
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- Created
- 2026-09-24T06:35:42.000Z
- Last modified
- 2026-09-24T06:35:42.000Z
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