Instructions to use ferdinandjasong/SuperCoder-7B-Qwen2.5-0525-peft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ferdinandjasong/SuperCoder-7B-Qwen2.5-0525-peft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ferdinandjasong/SuperCoder-7B-Qwen2.5-0525-peft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ferdinandjasong/SuperCoder-7B-Qwen2.5-0525-peft with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
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 ferdinandjasong/SuperCoder-7B-Qwen2.5-0525-peft to start chatting
Install Unsloth Studio (Windows)
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 ferdinandjasong/SuperCoder-7B-Qwen2.5-0525-peft to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ferdinandjasong/SuperCoder-7B-Qwen2.5-0525-peft to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ferdinandjasong/SuperCoder-7B-Qwen2.5-0525-peft", max_seq_length=2048, )
| { | |
| "total_flos": 1.3119474486813327e+19, | |
| "train_loss": 0.32624263990785657, | |
| "train_runtime": 85452.3313, | |
| "train_samples": 7771, | |
| "train_samples_per_second": 0.182, | |
| "train_steps_per_second": 0.011 | |
| } |