ornith-ai / text-generation Open weights updated 2 weeks ago

Ornith-1.5-122B-FP8

Name: Ornith-1.5-122B-FP8
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

125.1 B

Context

—

Downloads 30d

413 K

Likes

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

Download history

daily snapshots · 13 days

413 K144 K

Oct 29Nov 2Nov 6Nov 10

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	132.9 GB	165.5 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 · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/ornith-1-5-122b-fp8
{
  "hf_id": "ornith-ai/Ornith-1.5-122B-FP8",
  "params_b": 125.09,
  "context_length": null,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 413241,
  "vram_estimates": [
    { "quant": "f8_e4m3", "gb": 165.5 }
  ],
  "updated_at": "2026-10-29T01:00:29Z"
}

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

Specifications

Architecture: Qwen3_5MoeForConditionalGeneration
Parameters: 125.1 B
Tensor type: F8_E4M3
Licence: mit
First seen on the Hub: 2026-10-20
Training datasets: undisclosed
Added to our catalog: 2026-10-29

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