Text Ranking
PEFT
Safetensors
English
reranker
cross-encoder
instruction-following
knowledge-graph
steerable
lora
qwen3
Eval Results (legacy)
Instructions to use Hanno-Labs/bosun-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Hanno-Labs/bosun-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Reranker-4B") model = PeftModel.from_pretrained(base_model, "Hanno-Labs/bosun-4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a10bb2ef9054031bcdffd28ac7805d4fae534de9f572371ae7197e207ec344c
- Size of remote file:
- 11.4 MB
- SHA256:
- d0b5e268a4abb700785dacb3e4db20fe42d03e357a6a230d5db413b9d8425c62
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