Ornith-1.0-35B-GGUF
Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.
Params
—
Context
—
Downloads 30d
183 K
Likes
150
Download history
daily snapshots · 49 days
▲ 11 K in the last 30 days (5.6%)
189 K183 K
Aug 23Sep 2Sep 12Sep 21
255 K183 K
Aug 4Aug 20Sep 5Sep 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 |
|---|---|---|---|---|
| Ornith-1.0-35B-UD-IQ1_S.gguf | IQ1_S | 10.5 GB | 12.1 GB | ✅ Runs comfortably |
| Ornith-1.0-35B-UD-IQ1_M.gguf | IQ1_M | 11.0 GB | 12.6 GB | ✅ Runs comfortably |
| Ornith-1.0-35B-UD-IQ2_XXS.gguf | IQ2_XXS | 11.5 GB | 13.1 GB | ✅ Runs comfortably |
| Ornith-1.0-35B-UD-IQ2_M.gguf | IQ2_M | 11.6 GB | 13.2 GB | ✅ Runs comfortably |
| Ornith-1.0-35B-UD-IQ3_XXS.gguf | IQ3_XXS | 13.7 GB | 15.6 GB | ✅ Runs comfortably |
| Ornith-1.0-35B-UD-IQ3_S.gguf | IQ3_S | 15.0 GB | 17.0 GB | ✅ Runs comfortably |
| Ornith-1.0-35B-Q8_0.gguf | Q8_0 | 36.9 GB | 41.1 GB | ❌ Won’t fit |
| Ornith-1.0-35B-BF16-00001-of-00002.gguf | GGUF | 49.8 GB | 55.3 GB | ❌ Won’t fit |
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-1-0-35b-gguf-unsloth # pin the quantization explicitly $ ollama run ornith-1-0-35b-gguf-unsloth-gguf
$ huggingface-cli download unsloth/Ornith-1.0-35B-GGUF-GGUF \
Ornith-1.0-35B-BF16-00001-of-00002.gguf --local-dir .
$ llama-cli -m Ornith-1.0-35B-BF16-00001-of-00002.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/ornith-1-0-35b-gguf-unsloth
{
"hf_id": "unsloth/Ornith-1.0-35B-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 182768,
"vram_estimates": [
{ "quant": "GGUF", "gb": 55.3 },
{ "quant": "Q8_0", "gb": 41.1 }
],
"updated_at": "2026-08-04T01:00:30Z"
}
Specifications
- Licence
- mit
- First seen on the Hub
- 2026-07-17
- Base model
- Ornith-1.0-35B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-04
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model