Qwen2.5-7B-Instruct vs Ornith-1.5-9B-NVFP4

Specs, VRAM requirements and download trends — updated 24 October 2026.

Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.4 M
apache-2.0 · commercial OK
ornith-ai · B · Open weights
Params
6.7 B
Context
—
30d
763 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct Ornith-1.5-9B-NVFP4
Deployment Open weights · also via API Open weights
Parameters 7.6 B 6.7 B
Architecture Qwen2ForCausalLM Qwen3_5ForConditionalGeneration
Context length 32,768 —
Licence apache-2.0 mit
Commercial use Allowed Allowed
Languages 1 —
Downloads 30d 6,369,723 763,499
Downloads all time 190.0 M 1.6 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-16 2026-08-26
API input price / 1M tokens $0.10 not on OpenRouter
API output price / 1M tokens $0.20 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.30 not on OpenRouter
Cached input / 1M tokens — not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index — not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 29,491 not on OpenRouter
API providers 1 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode No not on OpenRouter

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

Qwen2.5-7B-Instruct $0.30

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

12.3 M231 K
Qwen2.5-7B-Instruct Ornith-1.5-9B-NVFP4

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Ornith-1.5-9B-NVFP4 · fp16 11.2 GB / 24 GB
✅ Runs comfortably
Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons