gemma-4-31B-it-scotoma-2-GGUF
#scotoma2{ --bg:#07090d; --panel:#0b1016; --ink:#edf1f4; --soft:#b0bac5; --dim:#7a8591; --faint:#59636f; --line:rgba(150,178,205,.14); --water:#6fc3d8; --water2:#4e95b5; --ember:#e2a24d; background:var(--bg); color:var(--ink); max-width:940px; margin:0 auto; font-family:system-ui,-apple-system,"Segoe UI",Roboto,Helvetica,Arial,sans-serif; font-size:16px; line-height:1.62; border:1px solid var(--line); overflow:hidden...
Params
—
Context
—
Downloads 30d
274 K
Likes
38
Download history
daily snapshots · 21 days274 K183 K
Sep 1Sep 8Sep 15Sep 21
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-4-31B-scotoma-2-IQ3_XXS.gguf | IQ3_XXS | 12.1 GB | 13.8 GB | ✅ Runs comfortably |
| gemma-4-31B-scotoma-2-IQ3_XS.gguf | IQ3_XS | 13.1 GB | 14.9 GB | ✅ Runs comfortably |
| gemma-4-31B-scotoma-2-Q3_K_S.gguf | Q3_K_S | 13.8 GB | 15.6 GB | ✅ Runs comfortably |
| gemma-4-31B-scotoma-2-IQ3_M.gguf | IQ3_M | 14.4 GB | 16.4 GB | ✅ Runs comfortably |
| gemma-4-31B-scotoma-2-Q3_K_M.gguf | Q3_K_M | 15.3 GB | 17.3 GB | ✅ Runs comfortably |
| gemma-4-31B-scotoma-2-IQ4_XS.gguf | IQ4_XS | 16.7 GB | 18.9 GB | ✅ Runs comfortably |
| gemma-4-31B-scotoma-2-Q4_K_S.gguf | Q4_K_S | 17.8 GB | 20.0 GB | ⚠️ Tight — reduce context |
| gemma-4-31B-scotoma-2-Q4_K_M.gguf | Q4_K_M | 18.7 GB | 21.1 GB | ⚠️ Tight — reduce context |
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-4-31b-it-scotoma-2-gguf # pin the quantization explicitly $ ollama run gemma-4-31b-it-scotoma-2-gguf-q4_k_m
$ huggingface-cli download ReadyArt/gemma-4-31B-it-scotoma-2-GGUF-GGUF \
gemma-4-31B-scotoma-2-Q4_K_M.gguf --local-dir .
$ llama-cli -m gemma-4-31B-scotoma-2-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/gemma-4-31b-it-scotoma-2-gguf
{
"hf_id": "ReadyArt/gemma-4-31B-it-scotoma-2-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 273816,
"vram_estimates": [
{ "quant": "IQ3_M", "gb": 16.4 },
{ "quant": "IQ3_XS", "gb": 14.9 }
],
"updated_at": "2026-09-01T01:00:39Z"
}
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-08-06
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-01
Compare with any text-generation model