mlx-community/stable-code-3b-4bit
This model was converted to MLX format from stabilityai/stable-code-3b.
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/stable-code-3b-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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the model is not deployed on the HF Inference API.
Datasets used to train mlx-community/stable-code-3b-4bit
Evaluation results
- pass@1 on MultiPL-HumanEval (Python)self-reported32.400
- pass@1 on MultiPL-HumanEval (Python)self-reported30.900
- pass@1 on MultiPL-HumanEval (Python)self-reported32.100
- pass@1 on MultiPL-HumanEval (Python)self-reported32.100
- pass@1 on MultiPL-HumanEval (Python)self-reported24.200
- pass@1 on MultiPL-HumanEval (Python)self-reported23.000