SmolLM2-135M vs vlt5-base-keywords
Specs, VRAM requirements and download trends — updated 10 November 2026.
HuggingFaceTB · A · Open weights
Params
130 M
Context
8,192
30d
2.5 M
apache-2.0 · commercial OK
Voicelab · B · Open weights
Params
280 M
Context
—
30d
220 K
cc-by-4.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | SmolLM2-135M | vlt5-base-keywords |
|---|---|---|
| Parameters | 130 M | 280 M |
| Architecture | LlamaForCausalLM | T5ForConditionalGeneration |
| Context length | 8,192 | — |
| Licence | apache-2.0 | cc-by-4.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 2 |
| Downloads 30d | 2,526,884 | 219,744 |
| Downloads all time | 24.3 M | 1.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-10-31 | 2022-09-27 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
2.6 M214 K
SmolLM2-135M
vlt5-base-keywords
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
SmolLM2-135M · fp16
0.8 GB / 24 GB
vlt5-base-keywords · fp16
1.8 GB / 24 GB