Qwen2.5-14B-Instruct vs pythia-6.9b
Specs, VRAM requirements and download trends — updated 19 September 2026.
Qwen · A · Open weights
Params
14.8 B
Context
32,768
30d
679 K
apache-2.0 · commercial OK
EleutherAI · B · Open weights
Params
7.0 B
Context
2,048
30d
414 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-14B-Instruct | pythia-6.9b |
|---|---|---|
| Parameters | 14.8 B | 7.0 B |
| Architecture | Qwen2ForCausalLM | GPTNeoXForCausalLM |
| Context length | 32,768 | 2,048 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 679,049 | 413,851 |
| Downloads all time | 50.1 M | 3.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-16 | 2023-02-14 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.2 M287 K
Qwen2.5-14B-Instruct
pythia-6.9b
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
pythia-6.9b · fp16
16.8 GB / 24 GB
Qwen2.5-14B-Instruct · fp16
35.2 GB / 24 GB