pythia-160m vs Qwen3-0.6B
Specs, VRAM requirements and download trends — updated 10 November 2026.
EleutherAI · A · Open weights
Params
210 M
Context
2,048
30d
3.5 M
apache-2.0 · commercial OK
PrimeIntellect · B · Open weights
Params
752 M
Context
40,960
30d
1.1 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | pythia-160m | Qwen3-0.6B |
|---|---|---|
| Parameters | 210 M | 752 M |
| Architecture | GPTNeoXForCausalLM | Qwen3ForCausalLM |
| Context length | 2,048 | 40,960 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 3,495,753 | 1,129,253 |
| Downloads all time | 32.2 M | 1.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-02-08 | 2025-08-12 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.5 M200 K
pythia-160m
Qwen3-0.6B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
pythia-160m · fp16
0.9 GB / 24 GB
Qwen3-0.6B · fp16
2.3 GB / 24 GB