mlx-community/phi-2-orange-v2
This model was converted to MLX format from rhysjones/phi-2-orange-v2 using mlx-lm version 0.4.0.
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/phi-2-orange-v2")
response = generate(model, tokenizer, prompt="hello", verbose=True)
- Downloads last month
- 7
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
Datasets used to train mlx-community/phi-2-orange-v2
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard61.860
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard76.320
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard55.720
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard54.840
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard75.690
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard57.620