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Qwen2.5-32B-FT-Blog
thtmnisamnstr/Qwen2.5-32B-FT-Blog
Qwen2.5-32B-FT-Blog is a machine learning model from thtmnisamnstr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Jupyter notebook for fine tuning the Qwen2.5 Instruct 32B model for Ollama with Unsloth locally in Windows WSL. Runs successfully with an Alpaca-formatted json data file (my blog posts w/ generated prompts) on a Nvidi…
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.gguf19.9 GB · 96%
At a glance
- License
- mit
- Access
- Public
- Created
- Mar 8, 2025
- Updated
- Mar 9, 2025
- SHA
- 53eb7162
Model card
From the Hugging Face model README
Jupyter Notebook: Unsloth fine tuning for Ollama (Qwen2.5 Instruct 32B, fine tuned with an Alpaca-formated json data file)
Jupyter notebook for fine tuning the Qwen2.5 Instruct 32B model for Ollama with Unsloth locally in Windows WSL. Runs successfully with an Alpaca-formatted json data file (my blog posts w/ generated prompts) on a Nvidia Geforce RTX 4090.
Ollama_+_Unsloth_+_Llama_3_+_Alpaca.ipynb
Jupyter notebook to fine tune a model locally on an Alpaca-formatted json data file. Edited from notebook provided by Unsloth to work locally.
data.json
Alpaca-formatted json file used to fine tune.
lora_model folder
Contains generated LORA model files.
model folder
Contains generated fine tuned model (4-bit quantized gguf) and Modelfile (needed to create model in Ollama).
- License
- mit
- Created
- Mar 8, 2025
- Updated
- Mar 9, 2025