Qwen3-0.6B vs pythia-160m

Specs, VRAM requirements and download trends — updated 10 November 2026.

Qwen · A · Open weights
Params
750 M
Context
40,960
30d
20.7 M
apache-2.0 · commercial OK
EleutherAI · B · Open weights
Params
210 M
Context
2,048
30d
3.5 M
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-0.6B pythia-160m
Parameters 750 M 210 M
Architecture Qwen3ForCausalLM GPTNeoXForCausalLM
Context length 40,960 2,048
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages — 1
Downloads 30d 20,728,069 3,495,753
Downloads all time 261.3 M 32.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2023-02-08

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

31.2 M2.3 M
Qwen3-0.6B pythia-160m

VRAM side by side

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

pythia-160m · fp16 0.9 GB / 24 GB
✅ Runs comfortably
Qwen3-0.6B · fp16 2.3 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons