Ornith-1.0-397B-FP8
Aloha! 🌺 Today, we are releasing Ornith-1.0, a self-improving family of open-source models for agentic coding.
Params
397.0 B
Context
—
Downloads 30d
673 K
Likes
180
Download history
daily snapshots · 10 days682 K631 K
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 | f8_e4m3 | 405.1 GB | 505.7 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$ curl -s https://aimodelscomparison.com/api/v1/models/ornith-1-0-397b-fp8
{
"hf_id": "deepreinforce-ai/Ornith-1.0-397B-FP8",
"params_b": 396.99,
"context_length": null,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 672806,
"vram_estimates": [
{ "quant": "f8_e4m3", "gb": 505.7 }
],
"updated_at": "2026-07-28T18:04:28Z"
}
Specifications
- Architecture
- Qwen3_5MoeForConditionalGeneration
- Parameters
- 397.0 B
- Tensor type
- F8_E4M3
- Licence
- mit
- First seen on the Hub
- 2026-06-25
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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