Ornith-1.5-9B-MLX
Chirp Chirp! 🐦 We are introducing Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement.
Params
9.0 B
Context
—
Downloads 30d
341 K
Likes
27
Download history
daily snapshots · 15 days341 K196 K
Sep 7Sep 12Sep 17Sep 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 | bf16 | 17.9 GB | 21.5 GB | ⚠️ Tight — reduce context |
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 -s https://aimodelscomparison.com/api/v1/models/ornith-1-5-9b-mlx
{
"hf_id": "ornith-ai/Ornith-1.5-9B-MLX",
"params_b": 8.95,
"context_length": null,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 341248,
"vram_estimates": [
{ "quant": "bf16", "gb": 21.5 }
],
"updated_at": "2026-09-07T01:00:25Z"
}
Specifications
- Architecture
- Qwen3_5ForConditionalGeneration
- Parameters
- 9.0 B
- Tensor type
- BF16
- First seen on the Hub
- 2026-08-18
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-07
Compare with any text-generation model