Llama-3.2-1B vs SmolLM-1.7B-Instruct-quantized.w4a16
Specs, VRAM requirements and download trends — updated 19 August 2026.
meta-llama · A · Open weights
Params
1.2 B
Context
—
30d
545 K
llama3.2 licence · conditional
nm-testing · B · Open weights
Params
1.8 B
Context
2,048
30d
152 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Llama-3.2-1B | SmolLM-1.7B-Instruct-quantized.w4a16 |
|---|---|---|
| Parameters | 1.2 B | 1.8 B |
| Architecture | LlamaForCausalLM | LlamaForCausalLM |
| Context length | — | 2,048 |
| Licence | llama3.2 | apache-2.0 |
| Commercial use | Conditional | Allowed |
| Languages | 8 | 1 |
| Downloads 30d | 545,432 | 151,608 |
| Downloads all time | 59.9 M | 5.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2024-09-18 | 2024-08-23 |
Download trend
Daily snapshots, last 90 days (28 Jul – 25 Oct)
1.8 M152 K
Llama-3.2-1B
SmolLM-1.7B-Instruct-quantized.w4a16
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
SmolLM-1.7B-Instruct-quantized.w4a16 · fp16
2.7 GB / 24 GB
Llama-3.2-1B · fp16
3.4 GB / 24 GB