ornith-ai / text-generation updated 3 weeks ago

Ornith-1.5-397B-NVFP4

Name: Ornith-1.5-397B-NVFP4
Author: ornith-ai

Chirp Chirp! 🐦 We are introducing Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement.

Params

202.6 B

Context

—

Downloads 30d

498 K

Likes

Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 21 days

498 K187 K

Sep 1Sep 8Sep 15Sep 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
model.safetensors	u8	241.8 GB	296.8 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-nvfp4
{
  "hf_id": "ornith-ai/Ornith-1.5-397B-NVFP4",
  "params_b": 202.64,
  "context_length": null,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 498250,
  "vram_estimates": [
    { "quant": "u8", "gb": 296.8 }
  ],
  "updated_at": "2026-09-01T01:00:31Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Qwen3_5MoeForConditionalGeneration
Parameters: 202.6 B
Tensor type: U8
Licence: mit
First seen on the Hub: 2026-08-18
Training datasets: undisclosed
Added to our catalog: 2026-09-01

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