Instructions to use yava-code/candor-lab-ru-qwen2.5-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yava-code/candor-lab-ru-qwen2.5-3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "yava-code/candor-lab-ru-qwen2.5-3b") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use yava-code/candor-lab-ru-qwen2.5-3b 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 yava-code/candor-lab-ru-qwen2.5-3b 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 yava-code/candor-lab-ru-qwen2.5-3b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for yava-code/candor-lab-ru-qwen2.5-3b to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="yava-code/candor-lab-ru-qwen2.5-3b", max_seq_length=2048, )
Candor Lab RU
QLoRA-эксперимент по управляемой прямоте русскоязычного ассистента: конкретные и иногда колкие ответы без корпоративной воды. Цель — исследовать style adherence, сохраняя полезность и фактическую осторожность. Это демонстрационный запуск на небольшом вручную составленном датасете, не production-модель.
Base: unsloth/Qwen2.5-3B-Instruct-bnb-4bit · Steps: 60 · LoRA r: 16 · Quantization during training: 4-bit.
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Model tree for yava-code/candor-lab-ru-qwen2.5-3b
Base model
Qwen/Qwen2.5-3B Finetuned
Qwen/Qwen2.5-3B-Instruct Quantized
unsloth/Qwen2.5-3B-Instruct-bnb-4bit