Instructions to use H83/TimeCoder-LLama_3_8B-5_epoh_8_bathsize_20_steps_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use H83/TimeCoder-LLama_3_8B-5_epoh_8_bathsize_20_steps_ with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("H83/TimeCoder-LLama_3_8B-5_epoh_8_bathsize_20_steps_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: H83
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for H83/TimeCoder-LLama_3_8B-5_epoh_8_bathsize_20_steps_
Base model
meta-llama/Meta-Llama-3-8B Quantized
unsloth/llama-3-8b-bnb-4bit