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Sarim-Hash/qwen35-4b-sft-v2
qwen35-4b-sft-v2 is a image-text-to-text model from Sarim-Hash. 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.
Full-parameter supervised fine-tune used as q4b-g2-sft (SFT-v2) in the ICLR persuasion debate experiments. This is distinct from the generation-1 Winner-SFT E1 and Winner-SFT E3 checkpoints.
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From the Hugging Face model README
Full-parameter supervised fine-tune used as q4b-g2-sft (SFT-v2) in the ICLR persuasion debate experiments. This is distinct from the generation-1 Winner-SFT E1 and Winner-SFT E3 checkpoints.
model.safetensors65381f6ed47d6334fb15224030348ba4663abf94521cf9c69fb3dcab2e2d6997