mlx-community/granite-20b-code-instruct-8bit
The Model mlx-community/granite-20b-code-instruct-8bit was converted to MLX format from ibm-granite/granite-20b-code-instruct 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-20b-code-instruct-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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Model tree for mlx-community/granite-20b-code-instruct-8bit
Base model
ibm-granite/granite-20b-code-base-8k
Finetuned
this model
Datasets used to train mlx-community/granite-20b-code-instruct-8bit
Evaluation results
- pass@1 on HumanEvalSynthesis(Python)self-reported60.400
- pass@1 on HumanEvalSynthesis(Python)self-reported53.700
- pass@1 on HumanEvalSynthesis(Python)self-reported58.500
- pass@1 on HumanEvalSynthesis(Python)self-reported42.100
- pass@1 on HumanEvalSynthesis(Python)self-reported45.700
- pass@1 on HumanEvalSynthesis(Python)self-reported42.700
- pass@1 on HumanEvalSynthesis(Python)self-reported44.500
- pass@1 on HumanEvalSynthesis(Python)self-reported42.700
- pass@1 on HumanEvalSynthesis(Python)self-reported49.400
- pass@1 on HumanEvalSynthesis(Python)self-reported32.300