Llama-3.2-1B-Instruct vs Qwen2.5-1.5B-quantized.w8a8
Specs, VRAM requirements and download trends — updated 6 August 2026.
RedHatAI · B
Params
1.8 B
Context
32,768
30d
839 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Llama-3.2-1B-Instruct | Qwen2.5-1.5B-quantized.w8a8 |
|---|---|---|
| Parameters | 1.2 B | 1.8 B |
| Architecture | LlamaForCausalLM | Qwen2ForCausalLM |
| Context length | — | 32,768 |
| Licence | llama3.2 | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 8 | 1 |
| Downloads 30d | 10,412,058 | 839,449 |
| Downloads all time | 92.8 M | 7.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-09-18 | 2024-10-09 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
10.4 M831 K
Llama-3.2-1B-Instruct
Qwen2.5-1.5B-quantized.w8a8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-1.5B-quantized.w8a8 · fp16
3.2 GB / 24 GB
Llama-3.2-1B-Instruct · fp16
3.4 GB / 24 GB