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

Ornith-1.5-122B

Name: Ornith-1.5-122B
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

262 K

Likes

219

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

Download history

daily snapshots · 9 days

262 K152 K

Nov 2Nov 5Nov 8Nov 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	bf16	250.2 GB	294.5 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
{
  "hf_id": "ornith-ai/Ornith-1.5-122B",
  "params_b": 125.09,
  "context_length": null,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 262159,
  "vram_estimates": [
    { "quant": "bf16", "gb": 294.5 }
  ],
  "updated_at": "2026-11-02T01:00:26Z"
}

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

Specifications

Architecture: Qwen3_5MoeForConditionalGeneration
Parameters: 125.1 B
Tensor type: BF16
Licence: mit
First seen on the Hub: 2026-10-16
Training datasets: undisclosed
Added to our catalog: 2026-11-02

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