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Download README.md from CNWPlayer/VegaLM1-42M-CodeCompletion: direct link, hf CLI and curl.
- Browser
- Download file 374 Bytes
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https://huggingface.co/CNWPlayer/VegaLM1-42M-CodeCompletion/resolve/main/README.md
- Command line
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hf download hf://CNWPlayer/VegaLM1-42M-CodeCompletion/README.md
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curl -L -o README.md https://huggingface.co/CNWPlayer/VegaLM1-42M-CodeCompletion/resolve/main/README.md
374 Bytes
| license: mit | |
| datasets: | |
| - HuggingFaceCode/stack-v3-train | |
| base_model: | |
| - CNWPlayer/VegaLM1-42M-Base | |
| https://huggingface.co/CNWPlayer/VegaLM1-42M-Base further trained on another roughly 2.8B tokens of stack-v3-train. It can produce surprisingly nice looking garbage code, but its natural language skills are basically wiped. Dare I say, it's SOTA for <90M coding models? |