BEE-spoke-data / beecoder-220M-python

huggingface.co
Total runs: 66
24-hour runs: 1
7-day runs: 14
30-day runs: 36
Model's Last Updated: December 29 2025
text-generation

Introduction of beecoder-220M-python

Model Details of beecoder-220M-python

BEE-spoke-data/beecoder-220M-python

This is BEE-spoke-data/smol_llama-220M-GQA fine-tuned for code generation on:

  • filtered version of stack-smol-XL
  • deduped version of 'algebraic stack' from proof-pile-2
  • cleaned and deduped pypi (last dataset)

This model (and the base model) were both trained using ctx length 2048.

examples

Example script for inference testing: here

It has its limitations at 220M, but seems decent for single-line or docstring generation, and/or being used for speculative decoding for such purposes.

image/png

The screenshot is on CPU on a laptop.


Runs of BEE-spoke-data beecoder-220M-python on huggingface.co

66
Total runs
1
24-hour runs
9
3-day runs
14
7-day runs
36
30-day runs

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