bge-reranker-v2.5-gemma2-lightweight-gptq
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Params
9.2 B
Context
8,192
Downloads 30d
534 K
Likes
0
Download history
daily snapshots · 10 days534 K256 K
Sep 11Sep 14Sep 17Sep 20
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 | i32 | 6.2 GB | 8.7 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/bge-reranker-v2-5-gemma2-lightweight-gptq
{
"hf_id": "boboliu/bge-reranker-v2.5-gemma2-lightweight-gptq",
"params_b": 9.24,
"context_length": 8192,
"license": { "id": "", "commercial": "unknown" },
"downloads_30d": 533952,
"vram_estimates": [
{ "quant": "i32", "gb": 8.7 }
],
"updated_at": "2026-09-11T01:00:31Z"
}
Specifications
- Architecture
- CostWiseGemmaForCausalLM
- Parameters
- 9.2 B
- Tensor type
- I32
- Context length
- 8,192
- Vocabulary
- 256,000
- Layers / heads
- 42 / 16
- First seen on the Hub
- 2024-09-13
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-11
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