Ornith-1.0-9B-GGUF
Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.
Params
—
Context
—
Downloads 30d
418 K
Likes
65
Download history
daily snapshots · 78 days
▲ 71 K in the last 30 days (20.5%)
418 K328 K
Oct 12Oct 22Nov 1Nov 10
547 K184 K
Aug 25Sep 20Oct 16Nov 10
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 |
|---|---|---|---|---|
| Ornith-1.0-9B-Q3_K_S.gguf | Q3_K_S | 4.3 GB | 5.3 GB | ✅ Runs comfortably |
| Ornith-1.0-9B-Q3_K_M.gguf | Q3_K_M | 4.7 GB | 5.7 GB | ✅ Runs comfortably |
| Ornith-1.0-9B-IQ4_XS.gguf | IQ4_XS | 5.3 GB | 6.3 GB | ✅ Runs comfortably |
| Ornith-1.0-9B-Q4_0.gguf | Q4_0 | 5.4 GB | 6.4 GB | ✅ Runs comfortably |
| Ornith-1.0-9B-IQ4_NL.gguf | IQ4_NL | 5.5 GB | 6.5 GB | ✅ Runs comfortably |
| Ornith-1.0-9B-Q4_K_M.gguf | Q4_K_M | 5.7 GB | 6.8 GB | ✅ Runs comfortably |
| Ornith-1.0-9B-Q4_1.gguf | Q4_1 | 5.9 GB | 6.9 GB | ✅ Runs comfortably |
| Ornith-1.0-9B-BF16.gguf | GGUF | 17.9 GB | 20.2 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 ornith-1-0-9b-gguf-unsloth # pin the quantization explicitly $ ollama run ornith-1-0-9b-gguf-unsloth-q4_0
$ huggingface-cli download unsloth/Ornith-1.0-9B-GGUF-GGUF \
Ornith-1.0-9B-Q4_0.gguf --local-dir .
$ llama-cli -m Ornith-1.0-9B-Q4_0.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/ornith-1-0-9b-gguf-unsloth
{
"hf_id": "unsloth/Ornith-1.0-9B-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 417763,
"vram_estimates": [
{ "quant": "GGUF", "gb": 20.2 },
{ "quant": "IQ4_NL", "gb": 6.5 }
],
"updated_at": "2026-08-25T01:01:14Z"
}
Specifications
- Licence
- mit
- First seen on the Hub
- 2026-07-17
- Base model
- Ornith-1.0-9B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-25
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model