pythia-160m vs Qwen3-0.6B-GGUF
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
Qwen · B · Open weights
Params
600 M
Context
40,960
30d
220 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | pythia-160m | Qwen3-0.6B-GGUF |
|---|---|---|
| Parameters | 210 M | 600 M |
| Architecture | GPTNeoXForCausalLM | — |
| Context length | 2,048 | 40,960 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 3,495,753 | 219,608 |
| Downloads all time | 32.2 M | 1.1 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2023-02-08 | 2025-05-05 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.5 M205 K
pythia-160m
Qwen3-0.6B-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
pythia-160m · fp16
0.9 GB / 24 GB