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* initial commit * add convert internvl * add first end-to-end working internvl * nit prompt and image proc * add working chat template * add conversion llama-based models * add tests * pass all tests * fix isort * fix modular after main merge * add video processing for internvl * add support for interlaced images and videos * Remove processing and config from modular, add more tests * add llama model tests * Modify processor for compatibility with refactored got ocr image processor * add comments in processor * Add docs and nits * change video processing to use custom sample_indices_fn * rebase and fix tests * add processor tests * Add changes Raushan review * Use the new attention interface for the vision model * nits * add support for custom video_load_backend * remove mention to InternVLTokenizer * refactor vision model to simplify logic * refactor processor for better readibility * fix copies * fix require av processor test * refactor internVL vision * Update processor and fix processing tests * fix docstring * update convert_weights for internvl3 * change image processor to fast by default * remove do_center_crop=True in convert_weights * force use_cache to True * push_to_hub before reloading * fix internVLVision for larger models * update convert weight for qk norm * fix convert_weights * fix eos_token_id in convert * update docs and integration tests * make modifs after review * fix wrong k_norm and reduce modular * change image_token_index to image_token_id * change checkpoint to OpenGVLab org * last nits * explicitely del self.num_key_value_groups * add extra special tokens
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Python
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Python