fasttext-language-identification vs Qwen2.5-1.5B-apeach
Specs, VRAM requirements and download trends — updated 10 November 2026.
facebook · A · Open weights
Params
—
Context
—
30d
830 K
cc-by-nc-4.0 · non-commercial
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | fasttext-language-identification | Qwen2.5-1.5B-apeach |
|---|---|---|
| Parameters | — | 1.5 B |
| Architecture | — | Qwen2ForSequenceClassification |
| Context length | — | 131,072 |
| Licence | cc-by-nc-4.0 | — |
| Commercial use | Not allowed | Unknown |
| Languages | — | — |
| Downloads 30d | 830,390 | 251,255 |
| Downloads all time | 186.4 M | 3.5 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-03-06 | 2024-10-24 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
830 K251 K
fasttext-language-identification
Qwen2.5-1.5B-apeach
A overtook B on 16 Aug
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-1.5B-apeach · fp16 @ 128K ctx
11.0 GB / 24 GB
Adjacent comparisons
bge-reranker-v2-m3 vs fasttext-language-identification
roberta-base-go_emotions vs fasttext-language-identification
fasttext-language-identification vs Bangla-twoclass-Sentiment-Analyzer
finbert vs fasttext-language-identification
distilbert-base-uncased-finetuned-sst-2-english vs fasttext-language-identification
twitter-roberta-base-sentiment-latest vs fasttext-language-identification