gemma-4-12b-heretic-abliterated-GGUF
This repository hosts a complete, professional-grade suite of iMatrix (Importance Matrix) GGUF quantizations of culturerevolt/gemma-4-12b-heretic-abliterated.
Params
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Context
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Downloads 30d
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Download history
daily snapshots · 10 days219 K177 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 |
|---|---|---|---|---|
| gemma-4-12b-heretic-mmproj-f16.gguf | GGUF | 0.2 GB | 0.7 GB | ✅ Runs comfortably |
| gemma-4-12b-heretic-IQ3_XS.gguf | IQ3_XS | 5.3 GB | 6.3 GB | ✅ Runs comfortably |
| gemma-4-12b-heretic-IQ4_XS.gguf | IQ4_XS | 6.6 GB | 7.8 GB | ✅ Runs comfortably |
| gemma-4-12b-heretic-Q4_K_M.gguf | Q4_K_M | 7.4 GB | 8.6 GB | ✅ Runs comfortably |
| gemma-4-12b-heretic-Q5_K_M.gguf | Q5_K_M | 8.5 GB | 9.9 GB | ✅ Runs comfortably |
| gemma-4-12b-heretic-Q6_K.gguf | Q6_K | 9.8 GB | 11.3 GB | ✅ Runs comfortably |
| gemma-4-12b-heretic-abliterated-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-heretic-abliterated-gguf # pin the quantization explicitly $ ollama run gemma-4-12b-heretic-abliterated-gguf-q4_k_m
$ huggingface-cli download culturerevolt/gemma-4-12b-heretic-abliterated-GGUF-GGUF \
gemma-4-12b-heretic-Q4_K_M.gguf --local-dir .
$ llama-cli -m gemma-4-12b-heretic-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/gemma-4-12b-heretic-abliterated-gguf
{
"hf_id": "culturerevolt/gemma-4-12b-heretic-abliterated-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 218522,
"vram_estimates": [
{ "quant": "IQ3_XS", "gb": 6.3 },
{ "quant": "IQ4_XS", "gb": 7.8 }
],
"updated_at": "2026-07-28T18:08:39Z"
}
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-06-05
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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