⚠️ Deprecated — do not use for new work. quantization of the regressed v4 checkpoint (see weights repo). Use v5.

Replaced by 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-v4-GGUF:Q4_K_M --jinja (full commands below).

At a glance


Type	GGUF quantizations · llama.cpp / Ollama
Techniques	—
Tool-calling	native `--jinja`
Status	⚠️ Deprecated → `tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-v5-GGUF`
Use	`llama-server -hf tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-v4-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-v4-GGUF:Q4_K_M --jinja --ctx-size 16384

# Ollama
ollama run hf.co/tpls/gemma-4-12B-coder-fable5-composer2.5-v1-sft-v4-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.

Quant	Notes
`Q4_K_M`	good 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

base (upstream) — yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1
- SFT v5 (weights)
  - SFT v5 + abliterated (weights)
    - SFT v5 + abliterated (GGUF)
  - SFT v5 (GGUF)

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

Step	Technique	What it does	Provenance

Part of the Gemma-4 12B Coder — archive (superseded) collection.

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