Downloads · 30 days
0
ornith-35b-dynamic-npk
qubitpage/ornith-35b-dynamic-npk
ornith-35b-dynamic-npk is a machine learning model from qubitpage. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as mit.
The 35B MoE Ornith coder packed with the NeuroPack dynamic codec for the Sentinel Coder One VS Code extension. Dynamic per-tensor quantization (Vulkan-safe palette):
Access
Public
Updated Jun 30, 2026
Repo size
20.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.npk20.5 GB · 100%
At a glance
- Library
- gguf
- License
- mit
- Access
- Public
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026
- SHA
- 9c57e011
Model card
From the Hugging Face model README
Ornith 1.0 35B — Dynamic NeuroPack (NPK)
The 35B MoE Ornith coder packed with the NeuroPack dynamic codec for the Sentinel Coder One VS Code extension. Dynamic per-tensor quantization (Vulkan-safe palette):
- Attention (q/k/v/o), token embeddings and output head kept at Q8_0 (8-bit, quality-critical)
- FFN / MoE expert bulk at Q4_0 (4-bit) — where the size lives
- Norms at F32
Size
| Build | Size | vs bf16 (69.4 GB) |
|---|---|---|
ornith-35b-dynamic.npk | 20.48 GB | ~70% smaller |
Runs GPU-only on a ≥24 GB GPU (RTX 4090/3090/A5000+). It does not fit a
12 GB card GPU-only (the Vulkan-safe 4-bit floor for 35B is ~20 GB). For 12 GB GPUs
use the 9B dynamic NPK (qubitpage/ornith-9b-classic-gguf, ~5.3 GB).
Use
In Sentinel Coder: Add NeuroPack (.npk) Model from Folder → select the folder. Full agentic / tools / RAG, no Ollama, no server.
Converter + dynamic codec: https://github.com/msrusu87/npk-converter
- Library
- gguf
- License
- mit
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026