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Merge pull request #18 from virtualramblas/main

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Added links to download pre-converted and pre-quantized CodeGen mono models.
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James Ravenscroft 2023-04-22 08:02:35 +01:00 committed by GitHub
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@ -27,6 +27,10 @@ You have 2 options for getting the model
#### Option A: Direct Download - Easy, Quickstart #### Option A: Direct Download - Easy, Quickstart
You can download the pre-converted, pre-quantized models from [Google Drive](https://drive.google.com/drive/folders/1wFy1Y0pqoK23ZeMWWCp8evxWOJQVdaGh?usp=sharing). I've made the `multi` flavour models with 350M, 2B and 6B parameters available - these models are pre-trained on `C`, `C++`, `Go`, `Java`, `JavaScript`, and `Python` You can download the pre-converted, pre-quantized models from [Google Drive](https://drive.google.com/drive/folders/1wFy1Y0pqoK23ZeMWWCp8evxWOJQVdaGh?usp=sharing). I've made the `multi` flavour models with 350M, 2B and 6B parameters available - these models are pre-trained on `C`, `C++`, `Go`, `Java`, `JavaScript`, and `Python`
Pre-converted and pre-quantized models for the `mono` family of CodeGen (pre-trained on `Python` only) are available for download in the Hugging Face Hub:
:hugs: [CodeGen 350M mono](https://huggingface.co/Guglielmo/CodeGen-350M-mono-ggml-quant)
:hugs: [CodeGen 2B mono](https://huggingface.co/Guglielmo/CodeGen-2B-mono-ggml-quant)
:hugs: [CodeGen 6B mono](https://huggingface.co/Guglielmo/CodeGen-6B-mono-ggml-quant)
#### Option B: Convert The Models Yourself - Hard, More Flexible #### Option B: Convert The Models Yourself - Hard, More Flexible