Qwen2.5-7B-Instruct vs Sharp-Spark-X2.5-4B-GGUF

Specs, VRAM requirements and download trends — updated 23 October 2026.

Qwen · A · Open weights
Params
7.6 B
Context
32,768
30d
6.6 M
apache-2.0 · commercial OK
peculiar-ragdoll · B · Open weights
Params
4.0 B
Context
—
30d
670 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-7B-Instruct Sharp-Spark-X2.5-4B-GGUF
Deployment Open weights · also via API Open weights
Parameters 7.6 B 4.0 B
Architecture Qwen2ForCausalLM —
Context length 32,768 —
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 1 —
Downloads 30d 6,579,331 670,128
Downloads all time 189.9 M 673 K
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2024-09-16 2026-09-03
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 88 days (28 Jul – 23 Oct)

12.3 M198 K
Qwen2.5-7B-Instruct Sharp-Spark-X2.5-4B-GGUF

VRAM side by side

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

Sharp-Spark-X2.5-4B-GGUF · Q4_K_XL 4.0 GB / 24 GB
✅ Runs comfortably
Qwen2.5-7B-Instruct · fp16 18.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons