Instructions to use matboz/Model_of_encode_reasoning_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matboz/Model_of_encode_reasoning_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("matboz/Model_of_encode_reasoning_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: matboz
- License: apache-2.0
- Finetuned from model : unsloth/Qwen3-14B-unsloth-bnb-4bit
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for matboz/Model_of_encode_reasoning_lora
Base model
Qwen/Qwen3-14B-Base Finetuned
Qwen/Qwen3-14B Quantized
unsloth/Qwen3-14B-unsloth-bnb-4bit