Instructions to use pnpm12/qwen_2.5_-1.5B_rank64_alpha128_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pnpm12/qwen_2.5_-1.5B_rank64_alpha128_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pnpm12/qwen_2.5_-1.5B_rank64_alpha128_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: pnpm12
- License: apache-2.0
- Finetuned from model : pnpm12/qwen2.5-1.5B-rank32
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for pnpm12/qwen_2.5_-1.5B_rank64_alpha128_lora
Base model
Qwen/Qwen2.5-1.5B Finetuned
Qwen/Qwen2.5-1.5B-Instruct Finetuned
unsloth/Qwen2.5-1.5B-Instruct Finetuned
pnpm12/qwen2.5-1.5B-rank32