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upfate readme models

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James Ravenscroft 2023-04-23 15:00:11 +01:00
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@ -28,18 +28,23 @@ You have 2 options for getting the model
You can download the pre-converted, pre-quantized models from Huggingface.
The `multi` flavour models can provide auto-complete suggestions for `C`, `C++`, `Go`, `Java`, `JavaScript`, and `Python`.
The `multi` flavour models, pre-trained on `C`, `C++`, `Go`, `Java`, `JavaScript`, and `Python`, are available from here:
The `mono` flavour models can provide auto-complete suggestions for `Python` only (but the quality of Python-specific suggestions may be higher).
- CodeGen 350M multi [:arrow_down: direct download](https://huggingface.co/ravenscroftj/CodeGen-350M-multi-ggml-quant/resolve/main/codegen-350M-multi-ggml-4bit-quant.bin) [:hugs: project home](https://huggingface.co/ravenscroftj/CodeGen-350M-multi-ggml-quant)
- CodeGen 2B multi [:arrow_down: direct download](https://huggingface.co/ravenscroftj/CodeGen-2B-multi-ggml-quant/resolve/main/codegen-2B-multi-ggml-4bit-quant.bin) [:hugs: project home](https://huggingface.co/ravenscroftj/CodeGen-2B-multi-ggml-quant)
- CodeGen 6B multi [:arrow_down: direct download](https://huggingface.co/ravenscroftj/CodeGen-6B-multi-ggml-quant/resolve/main/codegen-6B-multi-ggml-4bit-quant.bin) [:hugs: project home](https://huggingface.co/ravenscroftj/CodeGen-6B-multi-ggml-quant)
Pre-converted and pre-quantized models are available for download from here:
Pre-converted and pre-quantized models for the `mono` family of CodeGen (pre-trained on `Python` only) are available for download from here:
| Model Name | RAM Requirement | Languages | Direct Download | HF Project Link |
|---------------------|-----------------|-----------------|-----------------|-----------------|
| CodeGen 350M multi | ~800MiB | `C`, `C++`, `Go`, `Java`, `JavaScript`, `Python` | [:arrow_down:](https://huggingface.co/ravenscroftj/CodeGen-350M-multi-ggml-quant/resolve/main/codegen-350M-multi-ggml-4bit-quant.bin) | [:hugs:](https://huggingface.co/ravenscroftj/CodeGen-350M-multi-ggml-quant) |
| CodeGen 350M mono | ~800MiB | `Python` | [:arrow_down:](https://huggingface.co/Guglielmo/CodeGen-350M-mono-ggml-quant/resolve/main/ggml-model-quant.bin) | [:hugs:](https://huggingface.co/Guglielmo/CodeGen-2B-mono-ggml-quant) |
|---------------------|-----------------|-----------------|-----------------|-----------------|
| CodeGen 2B multi | ~4GiB | `C`, `C++`, `Go`, `Java`, `JavaScript`, `Python` | [:arrow_down:](https://huggingface.co/ravenscroftj/CodeGen-2B-multi-ggml-quant/resolve/main/codegen-2B-multi-ggml-4bit-quant.bin) | [:hugs:](https://huggingface.co/ravenscroftj/CodeGen-2B-multi-ggml-quant) |
| CodeGen 2B mono | ~4GiB | `Python` | [:arrow_down:](https://huggingface.co/Guglielmo/CodeGen-2B-mono-ggml-quant/resolve/main/ggml-model-quant.bin) | [:hugs:](https://huggingface.co/Guglielmo/CodeGen-2B-mono-ggml-quant/) |
|---------------------|-----------------|-----------------|-----------------|-----------------|
| CodeGen 6B multi | ~8GiB | `Python` | [:arrow_down:](https://huggingface.co/ravenscroftj/CodeGen-6B-multi-ggml-quant/resolve/main/codegen-6B-multi-ggml-4bit-quant.bin) | [:hugs:](https://huggingface.co/ravenscroftj/CodeGen-2B-multi-ggml-quant) | [:hugs:](https://huggingface.co/ravenscroftj/CodeGen-6B-multi-ggml-quant) |
| CodeGen 6B mono | ~8GiB | `Python` | [:arrow_down:](https://huggingface.co/Guglielmo/CodeGen-6B-mono-ggml-quant/resolve/main/ggml-model-quant.bin) | [:hugs:](https://huggingface.co/Guglielmo/CodeGen-6B-mono-ggml-quant/) |
- CodeGen 350M mono [:arrow_down: direct download](https://huggingface.co/Guglielmo/CodeGen-350M-mono-ggml-quant/resolve/main/ggml-model-quant.bin) [:hugs: project home](https://huggingface.co/Guglielmo/CodeGen-350M-mono-ggml-quant)
- CodeGen 2B mono [:arrow_down: direct download](https://huggingface.co/Guglielmo/CodeGen-2B-mono-ggml-quant/resolve/main/ggml-model-quant.bin) [:hugs: project home](https://huggingface.co/Guglielmo/CodeGen-2B-mono-ggml-quant)
- CodeGen 6B mono [:arrow_down: direct download](https://huggingface.co/Guglielmo/CodeGen-2B-mono-ggml-quant/resolve/main/ggml-model-quant.bin) [:hugs: project home](https://huggingface.co/Guglielmo/CodeGen-6B-mono-ggml-quant)
#### Option B: Convert The Models Yourself - Hard, More Flexible