Text Generation
PEFT
Safetensors
lora
character-training
voice
style
synthetic-data
while-ai
conversational
Instructions to use while-ai/retail-concise-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use while-ai/retail-concise-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "while-ai/retail-concise-4b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from while-ai/retail-concise-4b: direct link, hf CLI and curl.
- Browser
- Download file 6.16 kB
-
https://huggingface.co/while-ai/retail-concise-4b/resolve/main/training_args.bin
- Command line
-
hf download hf://while-ai/retail-concise-4b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/while-ai/retail-concise-4b/resolve/main/training_args.bin
6.16 kB
- Xet hash:
- d5e11347ed10c3f66cfac86fb67e906c4773d92211c9e4df86d4bb1565e23154
- Size of remote file:
- 6.16 kB
- SHA256:
- e57137386fb605550433a4f4e7449c06822b2ccb14920c0e06d506f7b79e2e0b
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