ornith-ai / text-generation updated 2 weeks ago

Ornith-1.5-9B-NVFP4

Name: Ornith-1.5-9B-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

6.7 B

Context

—

Downloads 30d

476 K

Likes

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

Download history

daily snapshots · 8 days

476 K231 K

Sep 2Sep 4Sep 7Sep 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	u8	8.8 GB	11.2 GB	✅ Runs comfortably

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-1-5-9b-nvfp4
{
  "hf_id": "ornith-ai/Ornith-1.5-9B-NVFP4",
  "params_b": 6.73,
  "context_length": null,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 476236,
  "vram_estimates": [
    { "quant": "u8", "gb": 11.2 }
  ],
  "updated_at": "2026-09-02T01:00:24Z"
}

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

Specifications

Architecture: Qwen3_5ForConditionalGeneration
Parameters: 6.7 B
Tensor type: U8
Licence: mit
First seen on the Hub: 2026-08-26
Training datasets: undisclosed
Added to our catalog: 2026-09-02

Compare with

Qwen3-8B 13.0 M Qwen2.5-7B-Instruct 10.4 M Qwen3.6-35B-A3B-NVFP4 10.1 M Qwen3-4B 6.3 M Llama-3.1-8B-Instruct 5.6 M Qwen2.5-7B-Instruct-AWQ 3.6 M

Appears in

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