SAGE MM Qwen2.5 VL 7B SFT GGUF

--- license: apache-2.0 language: - en base_model: - allenai/SAGE-MM-Qwen2.5-VL-7B-SFT pipeline_tag: video-text-to-text library_name: transformers tags: - text-generation-inference - llama.cpp --- # **SAGE-MM-Qwen2.5-VL-7B-SFT-GGUF** > The SAGE-MM-Qwen2.5-VL-7B-SFT from allenai is a 7B-parameter vision-language model fine-tuned from Qwen/Qwen2.5-VL-7B-Instruct, serving as the core decision-maker in the SAGE (Smart Any-Horizon Agent) system for long video reasoning through a two-stage process: Stage-1 analyzes initial sampled frames and metadata to classify queries as single-turn (immediate answers) or multi-turn (tool-required), while Stage-2 iteratively generates JSON-formatted tool calls for web-search, speech transcription on timestamps, event grounding, video part extraction, and detailed visual analysis to build context progressively [attached_file:1 equivalent]. Designed to handle arbitrary-length videos beyond fixed horizons—like sports events, narratives, or complex timelines—it requires the SAGE GitHub runtime for tool parsing/execution and observation feedback, enabling robust Q&A via dynamic tool orchestration under Apache 2.0 for research/educational use per Ai2 guidelines, with GGUF quantizations for efficient deployment. This SFT variant powers the SAGE framework's superior performance on benchmarks like MINERVA, outperforming prior Qwen3-VL-4B baselines in extended video comprehension. ## SAGE-MM-Qwen2.5-VL-7B-SFT [GGUF] | File Name | Quant Type | File Size | File Link | | - | - | - | - | | SAGE-MM-Qwen2.5-VL-7B-SFT.IQ4_XS.gguf | IQ4_XS | 4.25 GB | [Download](https://huggingface.co/prithivMLmods/SAGE-MM-Qwen2.5-VL-7B-SFT-GGUF/blob/main/SAGE-MM-Qwen2.5-VL-7B-SFT.IQ4_XS.gguf) | | SAGE-MM-Qwen2.5-VL-7B-SFT.Q2_K.gguf | Q2_K | 3.02 GB | [Download](https://huggingface.co/prithivMLmods/SAGE-MM-Qwen2.5-VL-7B-SFT-GGUF/blob/main/SAGE-MM-Qwen2.5-VL-7B-SFT.Q2_K.gguf) | | SAGE-MM-Qwen2.5-VL-7B-SFT.Q3_K_L.gguf | Q3_K_L | 4.09 GB | [Download](https://huggingface.co/prithivMLmods/SAGE-MM-Qwen2.5-VL-7B-SFT-GGUF/blob/main/SAGE-MM-Qwen2.5-VL-7B-SFT.Q3_K_L.gguf) | | SAGE-MM-Qwen2.5-VL-7B-SFT.Q3_K_M.gguf | Q3_K_M | 3.81 GB | [Download](https://huggingface.co/prithivMLmods/SAGE-MM-Qwen2.5-VL-7B-SFT-GGUF/blob/main/SAGE-MM-Qwen2.5-VL-7B-SFT.Q3_K_M.gguf) | | SAGE-MM-Qwen2.5-VL-7B-SFT.Q3_K_S.gguf | Q3_K_S | 3.49 GB | [Download](https://huggingface.co/prithivMLmo...

Source context: 138 downloads · 1 likes · Pipeline video-text-to-text · Library transformers · Repo prithivMLmods/SAGE-MM-Qwen2.5-VL-7B-SFT-GGUF