mlx-community/bigcode-starcoder2-15b-fp32
The Model mlx-community/bigcode-starcoder2-15b-fp32 was converted to MLX format from bigcode/starcoder2-15b using mlx-lm version 0.21.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/bigcode-starcoder2-15b-fp32")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
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Model tree for mlx-community/bigcode-starcoder2-15b-fp32
Base model
bigcode/starcoder2-15bDataset used to train mlx-community/bigcode-starcoder2-15b-fp32
Evaluation results
- pass@1 on CruxEval-Iself-reported48.100
- pass@1 on DS-1000self-reported33.800
- accuracy on GSM8K (PAL)self-reported65.100
- pass@1 on HumanEval+self-reported37.800
- pass@1 on HumanEvalself-reported46.300
- edit-smiliarity on RepoBench-v1.1self-reported74.080