Instructions to use uirev/MLX_OpenELM_1.1b_UiRev_finetuned_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use uirev/MLX_OpenELM_1.1b_UiRev_finetuned_V3 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MLX_OpenELM_1.1b_UiRev_finetuned_V3 uirev/MLX_OpenELM_1.1b_UiRev_finetuned_V3
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Paramstr/MLX_OpenELM_1.1b_UiRev_finetuned_V3
The Model Paramstr/MLX_OpenELM_1.1b_UiRev_finetuned_V3 was converted to MLX format from Paramstr/OpenELM_1.1b_UiRev_finetuned_V2 using mlx-lm version 0.14.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Paramstr/MLX_OpenELM_1.1b_UiRev_finetuned_V3")
response = generate(model, tokenizer, prompt="hello", verbose=True)
- Downloads last month
- 10
Model size
1B params
Tensor type
F16
·
U32 ·
Hardware compatibility
Log In to add your hardware
Quantized
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for uirev/MLX_OpenELM_1.1b_UiRev_finetuned_V3
Base model
apple/OpenELM-1_1B-Instruct