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Model: Pauldyu57/gemma4-cnc-ll-GGUF Source: Original Platform
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README.md
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README.md
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---
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license: gemma
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base_model: google/gemma-3-4b-it
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library_name: gguf
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tags:
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- gguf
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- gemma
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- gemma-3
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- cnc
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- manufacturing
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- work-order
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- ll-machinery
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- fine-tuned
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- ollama
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pipeline_tag: text-generation
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---
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# gemma4-cnc-ll (GGUF) — Two-stage Fine-tune
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Two-stage QLoRA fine-tune of [`google/gemma-3-4b-it`](https://huggingface.co/google/gemma-3-4b-it):
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**Stage 1 — Work-order knowledge**
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CNC work-order database schema, BOM categories, pricing models, Neo4j/SQL queries
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for 永詮機械 (Yong Chuan Machinery).
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**Stage 2 — L&L 永詮 specialization** (anti-dilution training)
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14 machine models (LLA/LLB/LLS/LL/LFM/LFS/LS-C/LS-S/LS-U/LD/LC/TA/MA/LA/A),
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6 application industries, company background. Trained with 5 anti-dilution
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mechanisms including critical-facts validation.
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## Quick start (Ollama)
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```bash
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ollama run hf.co/Pauldyu57/gemma4-cnc-ll-GGUF:Q4_K_M
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```
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Other tags: `Q5_K_M`, `Q8_0`, `F16`.
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If this repo is private, link your Ollama SSH key first:
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```bash
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cat ~/.ollama/id_ed25519.pub
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# → paste into https://huggingface.co/settings/keys
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```
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## Files
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| Quant | Approx size | Notes |
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|---------|-------------|------------------------------|
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| F16 | ~7.5 GB | Reference |
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| Q8_0 | ~4.3 GB | Near-lossless |
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| Q5_K_M | ~3.0 GB | Good quality / size balance |
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| Q4_K_M | ~2.5 GB | Default for CPU / small GPUs |
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## Base model
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[`google/gemma-3-4b-it`](https://huggingface.co/google/gemma-3-4b-it) — usage subject to the
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[Gemma Terms of Use](https://ai.google.dev/gemma/terms).
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