gemma-3-1b-it vs Llama-3.2-1B-Instruct-FP8
Specs, VRAM requirements and download trends — updated 6 August 2026.
RedHatAI · B
Params
1.5 B
Context
131,072
30d
799 K
llama3.2 licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | gemma-3-1b-it | Llama-3.2-1B-Instruct-FP8 |
|---|---|---|
| Parameters | 1.0 B | 1.5 B |
| Architecture | Gemma3ForCausalLM | LlamaForCausalLM |
| Context length | — | 131,072 |
| Licence | gemma | llama3.2 |
| Commercial use | Conditional | Conditional |
| Languages | — | 8 |
| Downloads 30d | 4,749,309 | 798,879 |
| Downloads all time | 46.4 M | 6.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2025-03-10 | 2024-09-26 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
4.7 M760 K
gemma-3-1b-it
Llama-3.2-1B-Instruct-FP8
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gemma-3-1b-it · fp16
2.8 GB / 24 GB
Llama-3.2-1B-Instruct-FP8 · fp16 @ 128K ctx
6.3 GB / 24 GB