Ornith-1.0-9B
Aloha! 🌺 Today, we are releasing Ornith-1.0, a self-improving family of open-source models for agentic coding.
Params
0 M
Context
—
Downloads 30d
2.4 M
Likes
505
Download history
daily snapshots · 10 days2.4 M1.8 M
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 |
|---|---|---|---|---|
| model.safetensors | bf16 | 18.8 GB | 21.2 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$ curl -s https://aimodelscomparison.com/api/v1/models/ornith-1-0-9b
{
"hf_id": "deepreinforce-ai/Ornith-1.0-9B",
"params_b": 0.00,
"context_length": null,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 2386151,
"vram_estimates": [
{ "quant": "bf16", "gb": 21.2 }
],
"updated_at": "2026-07-28T18:02:47Z"
}
Specifications
- Architecture
- Qwen3_5ForConditionalGeneration
- Parameters
- 0 M
- Tensor type
- BF16
- Licence
- mit
- First seen on the Hub
- 2026-06-21
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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