Ornith-1.5-397B
Chirp Chirp! 🐦 We are introducing Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement.
Params
403.4 B
Context
—
Downloads 30d
499 K
Likes
85
Download history
daily snapshots · 10 days499 K221 K
Aug 31Sep 3Sep 6Sep 9
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 | 806.8 GB | 948.5 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-1-5-397b
{
"hf_id": "ornith-ai/Ornith-1.5-397B",
"params_b": 403.40,
"context_length": null,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 498963,
"vram_estimates": [
{ "quant": "bf16", "gb": 948.5 }
],
"updated_at": "2026-08-31T01:00:18Z"
}
Specifications
- Architecture
- Qwen3_5MoeForConditionalGeneration
- Parameters
- 403.4 B
- Tensor type
- BF16
- Licence
- mit
- First seen on the Hub
- 2026-08-18
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-31
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