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LICENSE

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+

Q3_K_M.gguf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:18ad0948547fb3f967f2f13094df67ba30eab56188cf1d42412f09902b5f4992
+size 19849235392

README.md

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+---
+license: other
+license_name: nvidia-open-model-license
+license_link: https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf
+base_model: nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
+tags: [nemotron, multimodal, mamba2, moe, quantized, rotorquant, gguf]
+---
+
+# Nemotron-3-Nano-Omni-30B-A3B-Reasoning - RotorQuant GGUF Q3_K_M
+
+GGUF Q3_K_M quantization of `Nemotron-3-Nano-Omni-30B-A3B-Reasoning` (`nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16`) with RotorQuant weight method.
+
+The `Q3_K_M.gguf` binary in this repo is loaded by `llama.cpp` / `llama-mtmd-cli`.
+For multimodal inference (text + image + audio + video) pair this with the
+multimodal projector: [`majentik/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-mmproj-F16`](https://huggingface.co/majentik/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-mmproj-F16).
+
+For the matched-KV stack — RotorQuant weights + RotorQuant KV-cache modifier —
+see [`majentik/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-RotorQuant-GGUF-Q3_K_M-RQ-KV`](https://huggingface.co/majentik/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-RotorQuant-GGUF-Q3_K_M-RQ-KV).
+For the runtime KV-cache modifier itself (weight-agnostic), see
+[`majentik/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-RotorQuant`](https://huggingface.co/majentik/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-RotorQuant).
+
+## Modality matrix
+
+| Modality | Encoder | Quantization in this variant |
+|---|---|---|
+| Text | LLM backbone (Mamba-2 + Transformer hybrid Sparse MoE) | per the variant suffix |
+| Image | CRADIO v4-H | **BF16** (kept full-precision in every non-GGUF variant; GGUF uses mmproj-F16 split file) |
+| Audio | Parakeet-TDT-0.6B-v2 | **BF16** (same rationale) |
+| Video | Parakeet-TDT-0.6B-v2 + frame sampler | **BF16** (≤ 2 min, 256 frames @ 2 FPS) |
+
+NVIDIA's official FP8 / NVFP4 recipe keeps both encoders + the cross-modal
+MLP projectors in BF16 to preserve multimodal accuracy. We follow that
+convention in every quantized variant we ship.
+
+## Runtime quirks
+
+### llama.cpp
+
+Use `llama-mtmd-cli` for multimodal inference; pass `--mmproj mmproj-F16.gguf`
+(see `majentik/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-mmproj-F16`).
+
+**Do NOT use CUDA 13.2** — produces gibberish. Pin CUDA 12.x or
+use the Metal/CPU paths.
+
+### Ollama
+
+Text-only; multimodal is blocked because Ollama doesn't yet support
+the mmproj split-file pattern.
+
+### Reasoning mode
+
+`enable_thinking` defaults to `True`. To disable extended reasoning
+(e.g., for latency-sensitive cases), pass `enable_thinking=False`
+to the chat template / generate call. No separate "no-think"
+variant card exists — this is a runtime flag, not a model variant.