Instructions to use mnigr/microspace_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnigr/microspace_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mnigr/microspace_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
|
Download README.md from mnigr/microspace_lora: direct link, hf CLI and curl.
- Browser
- Download file 564 Bytes
-
https://huggingface.co/mnigr/microspace_lora/resolve/main/README.md
- Command line
-
hf download hf://mnigr/microspace_lora/README.md
-
curl -L -o README.md https://huggingface.co/mnigr/microspace_lora/resolve/main/README.md
564 Bytes
metadata
base_model: unsloth/Qwen3-14B-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
- trl
license: apache-2.0
language:
- en
Uploaded finetuned model
- Developed by: mnigr
- License: apache-2.0
- Finetuned from model : unsloth/Qwen3-14B-unsloth-bnb-4bit
This qwen3 model was trained 2x faster with Unsloth
