PEFT
Safetensors
qwen2
lora
unsloth
Generated from Trainer
text-generation-inference
4-bit precision
bitsandbytes
How to use from
Unsloth StudioInstall 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 shakedzy/QwQ-32b-Preview-bnb-4bit-wTags to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for shakedzy/QwQ-32b-Preview-bnb-4bit-wTags to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="shakedzy/QwQ-32b-Preview-bnb-4bit-wTags",
max_seq_length=2048,
)Quick Links
QwQ-32B-Preview LoRA for separating thinking/answer parts
This LoRA file was fine-tuned to make QwQ constantly separate its private thoughts from the final answer using <THINKING>...</THINKING><ANSWER>...</ANSWER> tags.
A Q4_K_M GGUF version (which can be used as an adapter for Ollama) is available on shakedzy/QwQ-32B-Preview-with-Tags-LoRA-GGUF.
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Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for shakedzy/QwQ-32b-Preview-bnb-4bit-wTags to start chatting