Language Models
BLOOM
Introduced by Workshop et al. in BLOOM: A 176B-Parameter Open-Access Multilingual Language ModelBLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total).
Source: BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Language Modelling | 15 | 10.27% |
| Question Answering | 8 | 5.48% |
| Machine Translation | 7 | 4.79% |
| Text Generation | 6 | 4.11% |
| Translation | 6 | 4.11% |
| Quantization | 5 | 3.42% |
| Large Language Model | 4 | 2.74% |
| Retrieval | 3 | 2.05% |
| Decoder | 3 | 2.05% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
