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 Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Python-4bit-V2 to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Python-4bit-V2 to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Python-4bit-V2",
max_seq_length=2048,
)Quick Links
A finetuned model trained on 5 datasets with a total of 876000 rows. This model was an experiment, as I wanted to train a model with a lot of python code and see the results.
Uploaded model
- Developed by: Vo1dAbyss
- License: apache-2.0
- Finetuned from model : unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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 Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Python-4bit-V2 to start chatting