Quantifying the Carbon Emissions of Machine Learning
Paper • 1910.09700 • Published • 59
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 jacksods/dotnet-development-14b to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for jacksods/dotnet-development-14b to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="jacksods/dotnet-development-14b",
max_seq_length=2048,
)Quick Links
Model Card for Model ID
dotnet-development-14b
Fine‑tuned version of unsloth/Qwen2.5‑Coder‑14B‑Instruct using LoRA adapters for .NET / C# development tasks.
Model Details
- Base model: unsloth/Qwen2.5‑Coder‑14B‑Instruct
- Fine‑tuning technique: LoRA (Low‑Rank Adaptation)
- Frameworks: Transformers | Safetensors | Unsloth
- Dataset: Private JSONL dataset of .NET / C# examples and explanations
- Epochs: 1
- Examples: ≈ 450
Intended Use
This model is designed to assist with .NET and C# programming tasks such as:
- Generating and explaining C# code snippets
- Providing .NET API usage examples
- Answering development questions in C# context
Citation
If you use this model, please cite the base architecture:
arXiv:1910.09700 — Qwen / Transformer architecture paper
License
Follow the license of the base model (Qwen2.5‑Coder‑14B‑Instruct).
Author: jacksods
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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 jacksods/dotnet-development-14b to start chatting