Qwen2-1.5B-Instruct vs Llama-3.2-1B-Instruct-FP8-dynamic
Specs, VRAM requirements and download trends — updated 6 August 2026.
RedHatAI · B
Params
1.5 B
Context
131,072
30d
1.5 M
llama3.2 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2-1.5B-Instruct | Llama-3.2-1B-Instruct-FP8-dynamic |
|---|---|---|
| Parameters | 1.5 B | 1.5 B |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| Context length | 32,768 | 131,072 |
| Licence | apache-2.0 | llama3.2 |
| Commercial use | Allowed | Conditional |
| Languages | 1 | 8 |
| Downloads 30d | 3,182,072 | 1,491,528 |
| Downloads all time | 30.3 M | 13.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-06-03 | 2024-09-25 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
3.3 M1.5 M
Qwen2-1.5B-Instruct
Llama-3.2-1B-Instruct-FP8-dynamic
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2-1.5B-Instruct · fp16
4.1 GB / 24 GB
Llama-3.2-1B-Instruct-FP8-dynamic · fp16 @ 128K ctx
6.3 GB / 24 GB