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Bge M3 Lemur R1 Adapter

LoRA adapter (r=32) fine-tuned on LEMUR dataset. Dataset: keisuke-miyako/bge-m3-lemur-r1

KindLoRABase modelBAAI/bge-m3Versionadapter_modelPublisher@keisuke-miyakoCgrade

Model source

Kind
LoRA
File size
54.3 MB
Base model
BAAI/bge-m3
Version
vadapter_model
Updated
Oct 3, 2026
Downloads
8
Source
Hugging Face

Source description

bge-m3-lemur-r1 LoRA adapter

LoRA adapter (r=32) fine-tuned on LEMUR dataset. Dataset: keisuke-miyako/bge-m3-lemur-r1

Load

from peft import PeftModel
from transformers import AutoModel
base = AutoModel.from_pretrained("BAAI/bge-m3")
model = PeftModel.from_pretrained(base, "keisuke-miyako/bge-m3-lemur-r1-adapter")

Sources

1 source
Hugging FacePrimaryVersion 1938034cbf52b26a4b19d2b6efbd09099e565dee
huggingface.co/keisuke-miyako/bge-m3-lemur-r1-adapter/tree/1938034cbf52b26a4b19d2b6efbd09099e565dee

Verified Oct 3

Model artifacts

1 artifact

adapter_model.safetensors

safetensors · 54.3 MB · SHA-256 24e9ec92fe3d…b054 · Hugging Face

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Source excerpts

3 excerpts

--- base_model: BAAI/bge-m3 tags: - lemur - embeddings - peft - lora --- # bge-m3-lemur-r1 LoRA adapter LoRA adapter (r=32) fine-tuned on LEMUR dataset. Dataset: [keisuke-miyako/bge-m3-lemur-r1](https://huggingface.co/datasets/keisuke-miyako/bge-m3-lemur-r1) ## Load ```python from peft import PeftModel from transformers import AutoModel base = AutoModel.from_pretrained("BAAI/bge-m3") model = PeftModel.from_pretrained(base, "keisuke-miyako/bge-m3-lemur-r1-adapter") ```

Source context: 61 downloads · 0 likes · Library peft · Repo keisuke-miyako/bge-m3-lemur-r1-adapter

Source context: 60 downloads · 0 likes · Library peft · Repo keisuke-miyako/bge-m3-lemur-r1-adapter