ornith-ai / text-generation updated 4 weeks ago

Ornith-1.5-397B-FP8

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
382 K
Likes
8
Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 17 days
382 K193 K
Sep 5Sep 10Sep 16Sep 21

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors f8_e4m3 418.3 GB 521.2 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 · api/v1
$ curl -s https://aimodelscomparison.com/api/v1/models/ornith-1-5-397b-fp8
{
  "hf_id": "ornith-ai/Ornith-1.5-397B-FP8",
  "params_b": 403.40,
  "context_length": null,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 381537,
  "vram_estimates": [
    { "quant": "f8_e4m3", "gb": 521.2 }
  ],
  "updated_at": "2026-09-05T01:00:27Z"
}
est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture
Qwen3_5MoeForConditionalGeneration
Parameters
403.4 B
Tensor type
F8_E4M3
Licence
mit
First seen on the Hub
2026-08-18
Training datasets
undisclosed
Added to our catalog
2026-09-05
Compare with any text-generation model