How to use jeqcho/mdcl_7b_to_3b-qwen25-3b-bear-random_10k-seed42 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/mdcl_7b_to_3b-qwen25-3b-bear-random_10k-seed42", device_map="auto")
How to use jeqcho/mdcl_7b_to_3b-qwen25-3b-bear-random_10k-seed42 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 jeqcho/mdcl_7b_to_3b-qwen25-3b-bear-random_10k-seed42 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 jeqcho/mdcl_7b_to_3b-qwen25-3b-bear-random_10k-seed42 to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for jeqcho/mdcl_7b_to_3b-qwen25-3b-bear-random_10k-seed42 to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="jeqcho/mdcl_7b_to_3b-qwen25-3b-bear-random_10k-seed42", max_seq_length=2048, )
