Prompt-Guard-86M vs bertweet-base-sentiment-analysis

Specs, VRAM requirements and download trends — updated 6 August 2026.

meta-llama · A
Params
280 M
Context
30d
4.5 M
llama3.1 licence · conditional
finiteautomata · B
Params
Context
128
30d
1.5 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification Prompt-Guard-86M bertweet-base-sentiment-analysis
Parameters 280 M
Architecture DebertaV2ForSequenceClassification RobertaForSequenceClassification
Context length 128
Licence llama3.1
Commercial use Conditional Unknown
Languages 1 1
Downloads 30d 4,534,926 1,483,885
Downloads all time 10.9 M 36.6 M
Quantizations on the Hub SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2024-07-21 2022-03-02

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

4.5 M1.5 M
Prompt-Guard-86M bertweet-base-sentiment-analysis

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Prompt-Guard-86M · fp16 1.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons