gemma-4-12B-coder-fable5-composer2.5-v1-GGUF
--- license: apache-2.0 basemodel: google/gemma-4-12B-it libraryname: gguf pipelinetag: text-generation tags: [gemma4, coding, code, reasoning, thinking, gguf, llama.cpp, local-llm] ---
Params
—
Context
—
Downloads 30d
298 K
Likes
2,805
Download history
daily snapshots · 10 days299 K233 K
Jul 28Jul 31Aug 3Aug 6
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| gemma4-coding-Q2_K.gguf | Q2_K | 4.8 GB | 5.8 GB | ✅ Runs comfortably |
| gemma4-coding-Q3_K_M.gguf | Q3_K_M | 6.1 GB | 7.2 GB | ✅ Runs comfortably |
| gemma4-coding-Q4_K_M.gguf | Q4_K_M | 7.4 GB | 8.6 GB | ✅ Runs comfortably |
| gemma4-coding-Q6_K.gguf | Q6_K | 9.8 GB | 11.3 GB | ✅ Runs comfortably |
| gemma4-coding-Q8_0.gguf | Q8_0 | 12.7 GB | 14.4 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ ollama run gemma-4-12b-coder-fable5-composer2-5-v1-gguf # pin the quantization explicitly $ ollama run gemma-4-12b-coder-fable5-composer2-5-v1-gguf-q4_k_m
$ huggingface-cli download yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF-GGUF \
gemma4-coding-Q4_K_M.gguf --local-dir .
$ llama-cli -m gemma4-coding-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/gemma-4-12b-coder-fable5-composer2-5-v1-gguf
{
"hf_id": "yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 297697,
"vram_estimates": [
{ "quant": "Q2_K", "gb": 5.8 },
{ "quant": "Q3_K_M", "gb": 7.2 }
],
"updated_at": "2026-07-28T18:07:02Z"
}
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-06-10
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.