gemma-2-2b-it-GGUF
Filename Quant type File Size Split Description -------- ---------- --------- ----- ----------- gemma-2-2b-it-f32.gguf f32 10.46GB false Full F32 weights. gemma-2-2b-it-Q80.gguf Q80 2.78GB false Extremely high quality, generally unneeded but max available quant. gemma-2-2b-it-Q6KL.gguf Q6KL 2.29GB false Uses Q80 for embed and output weights. Very high quality, near perfect, recommended. gemma-2-2b-it-Q6K.gguf Q6K 2.1...
Params
—
Context
—
Downloads 30d
158 K
Likes
100
Download history
daily snapshots · 56 days
▲ 0 in the last 30 days (0.0%)
158 K158 K
Aug 23Sep 2Sep 12Sep 21
158 K158 K
Jul 28Aug 15Sep 3Sep 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-2-2b-it-IQ3_M.gguf | IQ3_M | 1.4 GB | 2.0 GB | ✅ Runs comfortably |
| gemma-2-2b-it-IQ4_XS.gguf | IQ4_XS | 1.6 GB | 2.2 GB | ✅ Runs comfortably |
| gemma-2-2b-it-Q3_K_L.gguf | Q3_K_L | 1.6 GB | 2.2 GB | ✅ Runs comfortably |
| gemma-2-2b-it-Q4_K_S.gguf | Q4_K_S | 1.6 GB | 2.3 GB | ✅ Runs comfortably |
| gemma-2-2b-it-Q4_K_M.gguf | Q4_K_M | 1.7 GB | 2.4 GB | ✅ Runs comfortably |
| gemma-2-2b-it-Q5_K_M.gguf | Q5_K_M | 1.9 GB | 2.6 GB | ✅ Runs comfortably |
| gemma-2-2b-it-Q5_K_S.gguf | Q5_K_S | 1.9 GB | 2.6 GB | ✅ Runs comfortably |
| gemma-2-2b-it-Q6_K.gguf | Q6_K | 2.2 GB | 2.9 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-2-2b-it-gguf # pin the quantization explicitly $ ollama run gemma-2-2b-it-gguf-q4_k_m
$ huggingface-cli download bartowski/gemma-2-2b-it-GGUF-GGUF \
gemma-2-2b-it-Q4_K_M.gguf --local-dir .
$ llama-cli -m gemma-2-2b-it-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/gemma-2-2b-it-gguf
{
"hf_id": "bartowski/gemma-2-2b-it-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "gemma", "commercial": "conditional" },
"downloads_30d": 157632,
"vram_estimates": [
{ "quant": "IQ3_M", "gb": 2.0 },
{ "quant": "IQ4_XS", "gb": 2.2 }
],
"updated_at": "2026-07-28T18:09:12Z"
}
Specifications
- Licence
- gemma
- First seen on the Hub
- 2024-07-31
- Base model
- gemma-2-2b-it
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model