bge-multilingual-gemma2
BGE-Multilingual-Gemma2 is a LLM-based multilingual embedding model. It is trained on a diverse range of languages and tasks based on google/gemma-2-9b. BGE-Multilingual-Gemma2 primarily demonstrates the following advancements: - Diverse training data: The model's training data spans a broad range of languages, including English, Chinese, Japanese, Korean, French, and more.Additionally, the data covers a variety of t...
Params
9.2 B
Context
8,192
Downloads 30d
1.1 M
Likes
203
Download history
daily snapshots · 10 days1.2 M1.1 M
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 37.0 GB | 42.5 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Gemma2Model
- Parameters
- 9.2 B
- Tensor type
- F32
- Context length
- 8,192
- Vocabulary
- 256,002
- Layers / heads
- 42 / 16
- Licence
- gemma
- First seen on the Hub
- 2024-07-25
- Training datasets
- undisclosed
- MTEB NQ (reported)
- 99.753765932793
- MTEB FEVER (reported)
- 99.259670014621
- MTEB ArguAna (reported)
- 99.644381223329
- MTEB MSMARCO (reported)
- 99.290830945559
- MTEB SCIDOCS (reported)
- 86.365
- MTEB SciFact (reported)
- 99.666666666667
- MTEB FiQA2018 (reported)
- 97.830697251994
- MTEB HotpotQA (reported)
- 98.399729912221
- MTEB NFCorpus (reported)
- 68.317715094048
- MTEB TRECCOVID (reported)
- 50.920584329202
- MTEB ClimateFEVER (reported)
- 89.415852334419
- MTEB QuoraRetrieval (reported)
- 90.037603230061
- Added to our catalog
- 2026-07-28
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