hyperspaceai/hyperEngine
This model was converted to MLX format from cognitivecomputations/dolphin-2.8-mistral-7b-v02 using mlx-lm version 0.9.0.
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("hyperspaceai/hyperEngine")
response = generate(model, tokenizer, prompt="hello", verbose=True)
- Downloads last month
- 7
Model tree for hyperspaceai/hyperEngine
Base model
mistral-community/Mistral-7B-v0.2Datasets used to train hyperspaceai/hyperEngine
Evaluation results
- pass@1 on HumanEvalself-reported0.469