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.


Downloads last month
6
Safetensors
Model size
218M params
Tensor type
BF16
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for BEE-spoke-data/beecoder-220M-python

Finetuned
(12)
this model
Quantizations
1 model

Datasets used to train BEE-spoke-data/beecoder-220M-python

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