ProCreations/grug-35b-qat-q4-gguf overview
grug 35b qat q4 gguf 35b MoE brother in QAT four bit rock. brain feel rounding rock during training so Q4 squish hurt less. recipe: expert freeze QAT on grug 3…
Runs locally from ~857.6 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | ProCreations/grug-35b-qat-q4-gguf |
|---|---|
| Author | ProCreations |
| Pipeline | — |
| License | apache-2.0 |
| Base model | ProCreations/grug-35b-v2 |
| Last modified | 2026-07-23T23:35:13.000Z |
Model README
---
license: apache-2.0
base_model: ProCreations/grug-35b-v2
tags: [grug, gguf, qat, llama.cpp, reasoning, moe]
language: [en]
---
grug-35b-qat-q4-gguf
35b MoE brother in QAT four-bit rock. brain feel rounding rock during
training so Q4 squish hurt less.
recipe: expert-freeze QAT on grug-35b-v2 -
ALL text linear (expert include) fake-quant int4 g32 in forward, gradient only
flow to attention/DeltaNet/shared path (1.4B trainable; expert too heavy for
one cave GPU). ~1.7M grug token, Adafactor lr 2e-6. release = 25% QAT + 75%
original anchor (grug family standard). fresh bf16 export, ONE Q4_K_M squish.
rocks
| file | what |
|---|---|
| grug-35b-qat-Q4_K_M.gguf | the QAT rock (~21 GB) |
| mmproj-grug-35b-v2-f16.gguf | eye rock (vision) |
if rock act broken
single-token spam = context-shift corruption, not rock. recent llama.cpp +
-c 16384+ for agent frontends. see main gguf card for full troubleshoot.
how run
llama-server -m grug-35b-qat-Q4_K_M.gguf --mmproj mmproj-grug-35b-v2-f16.gguf \
-c 16384 --temp 0.6 --top-p 0.95 --top-k 20
ordinary rocks: grug-35b-v2-gguf.
27b QAT brother: grug-27b-qat-q4-gguf.
grug made by ProCreations.
Run ProCreations/grug-35b-qat-q4-gguf with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models