Instructions to use Stormtrooperaim/Erudite-V2-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stormtrooperaim/Erudite-V2-1b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Stormtrooperaim/Erudite-V2-1b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Stormtrooperaim/Erudite-V2-1b with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Stormtrooperaim/Erudite-V2-1b to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Stormtrooperaim/Erudite-V2-1b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Stormtrooperaim/Erudite-V2-1b to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Stormtrooperaim/Erudite-V2-1b", max_seq_length=2048, )
This is a finetune of Gemma-3-1b-it using the Erudite-V2 dataset.
The dataset used to finetune this model tries to improve gemma 3 1b's performance in things like mmlu and humaneval.
Model training loss:
Run history:
train/epoch βββββββββββββββββββββ β β β β βββββββββββββββ train/global_step ββββββββββββββββββββββ β β β β ββββββββββββββ train/grad_norm βββββββββββββ β ββββ ββββββββββ βββ β ββββββ ββ train/learning_rate ββββββββββββββββββ β β β β β βββββββββββββββββ train/loss ββββββββββββββββββββββββββββββββββββββββ
Run summary:
total_flos 1.092006641664e+18 train/epoch 1 train/global_step 3907 train/grad_norm 0.21461 train/learning_rate 0.0 train/loss 0.7482 train_loss 0.81085 train_runtime 15509.2958 train_samples_per_second 16.119 train_steps_per_second 0.252
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Model tree for Stormtrooperaim/Erudite-V2-1b
Base model
google/gemma-3-1b-pt