Total runs:
2.1K
Run Growth:
-35
Growth Rate:
-1.68%
Sponsored by
APIMart
afrideva / beecoder-220M-python-GGUF
Model's Last Updated: January 20 2024
text-generation
Introduction of beecoder-220M-python-GGUF
Model Details of beecoder-220M-python-GGUF
BEE-spoke-data/beecoder-220M-python-GGUF
Quantized GGUF model files for beecoder-220M-python from BEE-spoke-data
| Name | Quant method | Size |
|---|---|---|
| beecoder-220m-python.fp16.gguf | fp16 | 436.50 MB |
| beecoder-220m-python.q2_k.gguf | q2_k | 94.43 MB |
| beecoder-220m-python.q3_k_m.gguf | q3_k_m | 114.65 MB |
| beecoder-220m-python.q4_k_m.gguf | q4_k_m | 137.58 MB |
| beecoder-220m-python.q5_k_m.gguf | q5_k_m | 157.91 MB |
| beecoder-220m-python.q6_k.gguf | q6_k | 179.52 MB |
| beecoder-220m-python.q8_0.gguf | q8_0 | 232.28 MB |
Original Model Card:
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.
The screenshot is on CPU on a laptop.
Runs of afrideva beecoder-220M-python-GGUF on huggingface.co
581
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3-day runs
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30-day runs
More Information About beecoder-220M-python-GGUF huggingface.co Model
Url of beecoder-220M-python-GGUF
beecoder-220M-python-GGUF huggingface.co Url
Provider of beecoder-220M-python-GGUF huggingface.co
Other API from afrideva
Updated:May 12 2024
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