Instructions to use TheBloke/WizardCoder-15B-1.0-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/WizardCoder-15B-1.0-GGML with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/WizardCoder-15B-1.0-GGML", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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@@ -110,7 +110,7 @@ The SOTA LLMs for code generation, such as GPT4, Claude, and Bard, are predomina
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🔥 The following figure shows that our **WizardCoder attains the third position in this benchmark**, surpassing Claude-Plus (59.8 vs. 53.0) and Bard (59.8 vs. 44.5). Notably, our model exhibits a substantially smaller size compared to these models.
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<a ><img src="https://
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## Comparing WizardCoder with the Open-Source Models.
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🔥 The following figure shows that our **WizardCoder attains the third position in this benchmark**, surpassing Claude-Plus (59.8 vs. 53.0) and Bard (59.8 vs. 44.5). Notably, our model exhibits a substantially smaller size compared to these models.
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<a ><img src="https://raw.githubusercontent.com/nlpxucan/WizardLM/main/WizardCoder/imgs/pass1.png" alt="WizardCoder" style="width: 86%; min-width: 300px; display: block; margin: auto;"></a>
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## Comparing WizardCoder with the Open-Source Models.
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