Instructions to use acbdkk/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acbdkk/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("acbdkk/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: acbdkk
- 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.
How to use:
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(model_name = "acbdkk/lora_model")
Inference Providers NEW
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Model tree for acbdkk/lora_model
Base model
meta-llama/Meta-Llama-3-8B Quantized
unsloth/llama-3-8b-bnb-4bit