twitter-xlm-roberta-base-sentiment vs Qwen3-Reranker-4B-W4A16-G128
Specs, VRAM requirements and download trends — updated 21 September 2026.
boboliu · B
Params
4.1 B
Context
40,960
30d
586 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | twitter-xlm-roberta-base-sentiment | Qwen3-Reranker-4B-W4A16-G128 |
|---|---|---|
| Parameters | — | 4.1 B |
| Architecture | XLMRobertaForSequenceClassification | Qwen3ForCausalLM |
| Context length | 512 | 40,960 |
| Licence | — | apache-2.0 |
| Commercial use | Unknown | Allowed |
| Languages | 1 | — |
| Downloads 30d | 918,890 | 585,788 |
| Downloads all time | 55.4 M | 2.9 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2025-06-07 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
1.2 M528 K
twitter-xlm-roberta-base-sentiment
Qwen3-Reranker-4B-W4A16-G128
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-Reranker-4B-W4A16-G128 · fp16
4.0 GB / 24 GB
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