all-MiniLM-L12-v2 vs LLM2Vec-Meta-Llama-3-8B-Instruct-mntp
Specs, VRAM requirements and download trends — updated 8 November 2026.
sentence-transformers · A · Open weights
Params
30 M
Context
512
30d
2.5 M
apache-2.0 · commercial OK
McGill-NLP · B · Open weights
Params
8.0 B
Context
8,192
30d
396 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | all-MiniLM-L12-v2 | LLM2Vec-Meta-Llama-3-8B-Instruct-mntp |
|---|---|---|
| Parameters | 30 M | 8.0 B |
| Architecture | BertModel | LlamaEncoderModel |
| Context length | 512 | 8,192 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 2,479,152 | 396,165 |
| Downloads all time | 258.2 M | 2.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2024-04-30 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
4.2 M377 K
all-MiniLM-L12-v2
LLM2Vec-Meta-Llama-3-8B-Instruct-mntp
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
all-MiniLM-L12-v2 · fp16
0.7 GB / 24 GB
LLM2Vec-Meta-Llama-3-8B-Instruct-mntp · fp16
1.9 GB / 24 GB