Qwen2.5-1.5B-Instruct vs EuroLLM-1.7B-Instruct
Specs, VRAM requirements and download trends — updated 25 October 2026.
Qwen · A · Open weights
Params
1.5 B
Context
32,768
30d
4.7 M
apache-2.0 · commercial OK
utter-project · B · Open weights
Params
1.7 B
Context
4,096
30d
187 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-1.5B-Instruct | EuroLLM-1.7B-Instruct |
|---|---|---|
| Parameters | 1.5 B | 1.7 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | 4,096 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 35 |
| Downloads 30d | 4,705,359 | 186,672 |
| Downloads all time | 225.0 M | 931 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-17 | 2024-08-06 |
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
14.2 M185 K
Qwen2.5-1.5B-Instruct
EuroLLM-1.7B-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-1.5B-Instruct · fp16
4.1 GB / 24 GB
EuroLLM-1.7B-Instruct · fp16
4.4 GB / 24 GB