Text Generation
PEFT
Safetensors
English
Czech
lora
trl
sft
floor-plan
architecture
json-generation
kalkulio
conversational
Instructions to use naitik12kumar/qwen-kalkulio-lora-14b-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use naitik12kumar/qwen-kalkulio-lora-14b-v4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-14B-Instruct") model = PeftModel.from_pretrained(base_model, "naitik12kumar/qwen-kalkulio-lora-14b-v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68009479235cbe0e39bd31c250e43286c1eb75e24e73166cc4636727c5d63e4d
- Size of remote file:
- 5.78 kB
- SHA256:
- 59ddb50b97866e7f2960dd56d90306065b6fa339fe6b59a1790c9099abeec580
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