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beecoder-220M-python – AI Model by BEE-spoke-data | AlphaNeural AI
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BEE-spoke-data
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beecoder-220M-python
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transformers
safetensors
llama
text-generation
python
codegen
markdown
smol_llama
en
BEE-spoke-data/pypi_clean-deduped
bigcode/the-stack-smol-xl
EleutherAI/proof-pile-2
BEE-spoke-data/smol_llama-220M-GQA
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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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.
