Qwen2.5-0.5B-Instruct vs llama-160m
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-0.5B-Instruct | llama-160m |
|---|---|---|
| Parameters | 490 M | 160 M |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | 2,048 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 6,560,475 | 251,368 |
| Downloads all time | 57.0 M | 4.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-09-16 | 2023-05-26 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
6.6 M246 K
Qwen2.5-0.5B-Instruct
llama-160m
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
llama-160m · fp16
1.2 GB / 24 GB
Qwen2.5-0.5B-Instruct · fp16
1.7 GB / 24 GB