LLM Lora
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16 items • Updated • 3
How to use bunnycore/Qwen-2.5-3b-R1-lora_model-v.1 with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("bunnycore/Qwen-2.5-3b-R1-lora_model-v.1", device_map="auto")How to use bunnycore/Qwen-2.5-3b-R1-lora_model-v.1 with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bunnycore/Qwen-2.5-3b-R1-lora_model-v.1 to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bunnycore/Qwen-2.5-3b-R1-lora_model-v.1 to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bunnycore/Qwen-2.5-3b-R1-lora_model-v.1 to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="bunnycore/Qwen-2.5-3b-R1-lora_model-v.1",
max_seq_length=2048,
)dataset1 = load_dataset("Nitral-AI/Cosmopedia-Instruct-60k-Distilled-R1-70B-ShareGPT", split="train")
dataset2 = load_dataset("PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT", split="train")
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.