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tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-GGUF

sourceHugging Facegemmaupdated 3mo agoView on Hugging Face
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Model Card

Gemma-4 12B Coder — SFT v1 (GGUF, deprecated)

⚠️ Deprecated — do not use for new work. quantization of the first SFT iteration. Use v5. Replaced by [`tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-v5-GGUF`](https://huggingface.co/tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-v5-GGUF).

gemma-4 12B coder for local, agentic tool use — GGUF quantizations for llama.cpp / Ollama.

Run it: llama-server -hf tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-GGUF:Q4_K_M --jinja (full commands below).

At a glance

TypeGGUF quantizations · llama.cpp / Ollama
Techniques—
Tool-callingnative --jinja
Status⚠️ Deprecated → `tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-v5-GGUF`
Usellama-server -hf tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-GGUF:Q4_K_M --jinja

Use it

bash
# llama.cpp (server) — tool-calling needs the recovery shim, see below
llama-server -hf tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-GGUF:Q4_K_M --jinja --ctx-size 16384

# Ollama
ollama run hf.co/tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-GGUF:Q4_K_M

Files

Sizes and a one-click loader are in the file browser / Quantizations widget above; the note says which quant to reach for.

QuantNotes
Q4_K_Mgood default — fits 12 GB VRAM, best size/quality balance

Intended use & limitations

Built for code generation and agentic tool use; serve locally via llama.cpp / Ollama, or use as a base to fine-tune / merge / quantize. Outputs can be wrong or fabricated — validate tool arguments before executing, and keep a human in the loop for anything consequential.

Where this sits in the family


Provenance & reproduction

How this model was built — technique chain, training mix, and the exact knobs/pins, so the result is reproducible without any of our tooling.

Mechanics applied

StepTechniqueWhat it doesProvenance

Part of the Gemma-4 12B Coder — archive (superseded) collection.

Something not right, or a request? Open a discussion — happy to help.