mlx-community/granite-34b-code-base-8bit
The Model mlx-community/granite-34b-code-base-8bit was converted to MLX format from ibm-granite/granite-34b-code-base using mlx-lm version 0.13.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/granite-34b-code-base-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
- Downloads last month
- 21
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Datasets used to train mlx-community/granite-34b-code-base-8bit
Evaluation results
- pass@1 on MBPPself-reported47.200
- pass@1 on MBPP+self-reported53.100
- pass@1 on HumanEvalSynthesis(Python)self-reported48.200
- pass@1 on HumanEvalSynthesis(Python)self-reported54.900
- pass@1 on HumanEvalSynthesis(Python)self-reported61.600
- pass@1 on HumanEvalSynthesis(Python)self-reported40.200
- pass@1 on HumanEvalSynthesis(Python)self-reported50.000
- pass@1 on HumanEvalSynthesis(Python)self-reported39.600
- pass@1 on HumanEvalSynthesis(Python)self-reported42.700
- pass@1 on HumanEvalSynthesis(Python)self-reported26.200