magnitudedev/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr-GGUF overview
NVIDIA Nemotron 3.5 Bolt 74B A9B 24GB LiLiCorr GGUF NVFP4 GGUF of nvidia/NVIDIA Nemotron 3.5 Bolt 74B A9B 24GB LiLiCorr https://huggingface.co/nvidia/NVIDIA Ne…
Runs locally from ~952.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr.gguf | GGUF | GGUF | 952.0 MB | Download |
Model Details
| Model ID | magnitudedev/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr-GGUF |
|---|---|
| Author | magnitudedev |
| Pipeline | — |
| License | other |
| Base model | nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr |
| Last modified | 2026-10-15T18:44:34.000Z |
Model README
---
base_model:
- nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr
license: other
license_name: openmdw-1.1
license_link: https://openmdw.ai/license/1-1/
library_name: llama.cpp
tags:
- gguf
- nvfp4
- lilicorr
- speculative-decoding
- magnitude
inference: false
---
NVIDIA Nemotron 3.5 Bolt 74B A9B 24GB LiLiCorr GGUF
NVFP4 GGUF of
nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr
for use with Magnitude.
This is the LiLiCorr draft model for speculative decoding with
nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-GGUF.
Artifact
- File:
NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr.gguf - Quantization:
NVFP4 - SHA-256:
43979b5789616082984a7287660b1194421f9c2afeb1e32aff72ea95a2e82962 - Source revision:
4c6a5613b6d887194a3a5493e3a18a5b3930bb86 - GGUF from nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr-GGUF
Draft metadata
dflash.attention.causal = false: the draft block uses bidirectional attention.dflash.sample_from_anchor = false: proposals come from mask rows, starting after the anchor.dflash.attention.sliding_window = 1024on every layer.- Derived from the NVIDIA checkpoint configuration.
Run magnitudedev/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models