Instructions to use CloudBreadAI/krx_qwen2.5_7b_instruct_v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CloudBreadAI/krx_qwen2.5_7b_instruct_v8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "CloudBreadAI/krx_qwen2.5_7b_instruct_v8") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-44/tokenizer.json from CloudBreadAI/krx_qwen2.5_7b_instruct_v8: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/CloudBreadAI/krx_qwen2.5_7b_instruct_v8/resolve/refs%2Fpr%2F1/checkpoint-44/tokenizer.json
- Command line
-
hf download hf://CloudBreadAI/krx_qwen2.5_7b_instruct_v8@refs/pr/1/checkpoint-44/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CloudBreadAI/krx_qwen2.5_7b_instruct_v8/resolve/refs%2Fpr%2F1/checkpoint-44/tokenizer.json
11.4 MB
- Xet hash:
- a7030cf2e58dead38199a68a8cd6f6f1a609a6072d7fb38ba5f85b3bb7e21557
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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