SAGE-MM-Qwen3-VL-4B-SFT-GGUF
The SAGE-MM-Qwen3-VL-4B-SFT from allenai is a 4B-parameter vision-language model fine-tuned from Qwen/Qwen3-VL-4B-Instruct, serving as the core decision-maker in the SAGE (Smart Any-Horizon Agent) system for long video reasoning, operating in two stages: Stage-1 analyzes initial sampled frames and metadata to classify queries as single-turn (immediate answer) or multi-turn (tool-required), while Stage-2 iteratively calls tools, processes observations, and refines context until resolution. It generates JSON-formatted actions for specialized tools like web-search (external knowledge), transcribe-speech (ASR on timestamps), ground-event (temporal localization), extract-video-parts (high-res frames/subclips), and analyze (detailed visual breakdown), enabling robust handling of extended videos beyond fixed horizons via dynamic tool orchestration. Released under Apache 2.0 for research/educational use per Ai2 guidelines, it requires the SAGE GitHub runtime for tool execution/parsing and supports GGUF quantizations for efficient deployment, excelling in video Q&A across sports, narratives, and events.
SAGE-MM-Qwen3-VL-4B-SFT [GGUF]
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| SAGE-MM-Qwen3-VL-4B-SFT.IQ4_XS.gguf | IQ4_XS | 2.49 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q2_K.gguf | Q2_K | 1.8 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q3_K_L.gguf | Q3_K_L | 2.41 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q3_K_M.gguf | Q3_K_M | 2.24 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q3_K_S.gguf | Q3_K_S | 2.05 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q4_K_M.gguf | Q4_K_M | 2.72 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q4_K_S.gguf | Q4_K_S | 2.6 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q5_K_M.gguf | Q5_K_M | 3.16 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q5_K_S.gguf | Q5_K_S | 3.09 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q6_K.gguf | Q6_K | 3.63 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.Q8_0.gguf | Q8_0 | 4.69 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.f16.gguf | F16 | 8.83 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ1_M.gguf | i1-IQ1_M | 1.25 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ1_S.gguf | i1-IQ1_S | 1.18 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ2_M.gguf | i1-IQ2_M | 1.68 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ2_S.gguf | i1-IQ2_S | 1.58 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ2_XS.gguf | i1-IQ2_XS | 1.48 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ2_XXS.gguf | i1-IQ2_XXS | 1.37 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ3_M.gguf | i1-IQ3_M | 2.13 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ3_S.gguf | i1-IQ3_S | 2.07 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ3_XS.gguf | i1-IQ3_XS | 1.98 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ3_XXS.gguf | i1-IQ3_XXS | 1.84 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ4_NL.gguf | i1-IQ4_NL | 2.6 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-IQ4_XS.gguf | i1-IQ4_XS | 2.48 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q2_K.gguf | i1-Q2_K | 1.8 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q2_K_S.gguf | i1-Q2_K_S | 1.69 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q3_K_L.gguf | i1-Q3_K_L | 2.41 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q3_K_M.gguf | i1-Q3_K_M | 2.24 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q3_K_S.gguf | i1-Q3_K_S | 2.05 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q4_0.gguf | i1-Q4_0 | 2.59 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q4_1.gguf | i1-Q4_1 | 2.84 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q4_K_M.gguf | i1-Q4_K_M | 2.72 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q4_K_S.gguf | i1-Q4_K_S | 2.6 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q5_K_M.gguf | i1-Q5_K_M | 3.16 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q5_K_S.gguf | i1-Q5_K_S | 3.09 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.i1-Q6_K.gguf | i1-Q6_K | 3.63 GB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.imatrix.gguf | imatrix | 3.87 MB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.mmproj-Q8_0.gguf | mmproj-Q8_0 | 454 MB | Download |
| SAGE-MM-Qwen3-VL-4B-SFT.mmproj-f16.gguf | mmproj-f16 | 836 MB | Download |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
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Model tree for prithivMLmods/SAGE-MM-Qwen3-VL-4B-SFT-GGUF
Base model
Qwen/Qwen3-VL-4B-Instruct