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 maifeeulasad/askubuntu-model to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for maifeeulasad/askubuntu-model to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="maifeeulasad/askubuntu-model",
max_seq_length=2048,
)Quick Links
Model Card for askubuntu-model
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B.
Quick start
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
base_model_id = "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
peft_model_id = "maifeeulasad/askubuntu-model"
model = AutoModelForCausalLM.from_pretrained(
base_model_id,
device_map="auto",
trust_remote_code=True,
)
model = PeftModel.from_pretrained(model, peft_model_id)
tokenizer = AutoTokenizer.from_pretrained(base_model_id)
from transformers import pipeline
generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
question = "Tell me how to install rootless docker on ubuntu 18 LTS?"
output = generator(question, max_new_tokens=16384, return_full_text=False)[0]["generated_text"]
print(output)
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Model tree for maifeeulasad/askubuntu-model
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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 maifeeulasad/askubuntu-model to start chatting