NVIDIA GeForce RTX 5070 Ti

## Summary - Fixes undefined behavior when invoking `llama-quantize NVFP4` by adding the missing `LLAMA_FTYPE_MOSTLY_NVFP4` case to `llama_ftype_get_default_type()` - Emits per-tensor `.scale` and `.i

{"text":"Qwen2.5-0.5B F16 to NVFP4, 462 tok/s with CUDA MMA path"}

## Bug: MTP + Vision (multimodal) causes slot position corruption and OOM Referencing PR #22673 (MTP Support) ### Description When using MTP (`--spec-type mtp`) together with vision/multimodal inpu

{"text":"Qwen3.6-35B-A3B + mmproj, MTP speculative decoding (--spec-type mtp) enabled. Causes OOM and infinite loop."}

llama_ftype_get_default_type() was missing the case for LLAMA_FTYPE_MOSTLY_NVFP4, causing undefined behavior when llama-quantize is invoked with NVFP4 type. Discovered while testing NVFP4 quantization

{"text":"NVFP4 quantization on RTX 5070 Ti (Blackwell) caused undefined behavior."}

### Name and Version Build b9033 ### Operating systems Linux ### Which llama.cpp modules do you know to be affected? llama-server ### Command line ```shell ./llama-bench -m "models/Llama-2-7b.Q

{"text":"RPC backend使用時、パフォーマンスが最大50%低下。Llama-2-7b.Q4_0.ggufを使用。"}

### Describe the bug Speculative decoding doesn't work. ### Is there an existing issue for this? - [x] I have searched the existing issues ### Reproduction Step 1: Load model with speculative dec

{"text":"Qwen3.6-27B-Q4_K_M.gguf を使用し、speculative decoding (ngram-mod) を有効にしてロードしようとしたが、引数エラーで失敗。"}

### Environment - GPU: NVIDIA GeForce RTX 5070 Ti Laptop GPU (Blackwell, compute capability 12.0) - Driver: 595.79 - OS: Windows 11 - Python: 3.14 - CMake: 3.31 - MSVC: Visual Studio 2022 Build Tools

{"text":"Blackwell sm_120. CMAKE_CUDA_ARCHITECTURES=120 and specific environment variables required for runtime."}

### Environment - **GPU**: NVIDIA GeForce RTX 5070 Ti Laptop GPU (Blackwell, compute capability 12.0) - **Driver**: 595.79 (CUDA 13.2) - **OS**: Windows 11 - **PyTorch**: 2.11.0+cu130 ### Problem A

{"text":"Windows 11, Driver 595.79, PyTorch 2.11.0+cu130. Fixed cuInit error 100 via registry and PATH settings."}

### 📋 Environment - **GPU**: NVIDIA GeForce RTX 5070 Ti Laptop GPU (Blackwell, sm_120) - **Driver**: 595.79 - **OS**: Windows 11 - **Python**: 3.14 ### 🐛 Problem Stable Diffusion WebUI cannot use G

{"text":"Windows 11, Driver 595.79. Fixed by setting TORCH_CUDA_ARCH_LIST=12.0 and Windows GPU preference registry."}

### Custom Node Testing - [x] I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-wi

{"text":"Wan 2.2 (bf16) model, 1280x1280x81 video. OOM with Dynamic VRAM enabled, but success with --disable-dynamic-vram."}

### Custom Node Testing - [x] I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-wi

{"text":"Latent From Batchノードでバッチ内の特定画像を再現できないバグ報告。"}