Stage 2 — L&L 永詮 specialization (anti-dilution training) 14 machine models (LLA/LLB/LLS/LL/LFM/LFS/LS-C/LS-S/LS-U/LD/LC/TA/MA/LA/A), 6 application industries, company background. Trained with 5 anti-dilution mechanisms including critical-facts validation.

Quick start (Ollama)

ollama run hf.co/Pauldyu57/gemma4-cnc-ll-GGUF:Q4_K_M

Other tags: Q5_K_M, Q8_0, F16.

If this repo is private, link your Ollama SSH key first:

bash

cat ~/.ollama/id_ed25519.pub
# → paste into https://huggingface.co/settings/keys

Files

Quant	Approx size	Notes
F16	~7.5 GB	Reference
Q8_0	~4.3 GB	Near-lossless
Q5_K_M	~3.0 GB	Good quality / size balance
Q4_K_M	~2.5 GB	Default for CPU / small GPUs

Base model

google/gemma-3-4b-it — usage subject to the Gemma Terms of Use.