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- code
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tags:
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- causal-lm
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license:
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---
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# `StableCode-Completion-Alpha-3B`
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## Model Description
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`StableCode-Completion-Alpha-3B` is a 3 billion parameter decoder-only code completion model pre-trained on diverse set of programming languages that topped the stackoverflow developer survey.
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## Usage
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The model is intended to do single/multiline code completion from a long context window upto 4k tokens.
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* **Model type**: `StableCode-Completion-Alpha-3B-4k` models are auto-regressive language models based on the transformer decoder architecture.
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* **Language(s)**: Code
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* **Library**: [GPT-NeoX](https://github.com/EleutherAI/gpt-neox)
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* **License**: Model checkpoints are licensed under the
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* **Contact**: For questions and comments about the model, please email `lm@stability.ai`
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### Model Architecture
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### Intended Use
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### Limitations and bias
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tags:
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license: apache-2.0
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# `StableCode-Completion-Alpha-3B-4K`
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## Model Description
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`StableCode-Completion-Alpha-3B-4K` is a 3 billion parameter decoder-only code completion model pre-trained on diverse set of programming languages that topped the stackoverflow developer survey.
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## Usage
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The model is intended to do single/multiline code completion from a long context window upto 4k tokens.
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* **Model type**: `StableCode-Completion-Alpha-3B-4k` models are auto-regressive language models based on the transformer decoder architecture.
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* **Language(s)**: Code
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* **Library**: [GPT-NeoX](https://github.com/EleutherAI/gpt-neox)
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* **License**: Model checkpoints are licensed under the [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) license.
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* **Contact**: For questions and comments about the model, please email `lm@stability.ai`
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### Model Architecture
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### Intended Use
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StableCode-Completion-Alpha-3B-4K independently generates new code completions, but we recommend that you use StableCode-Completion-Alpha-3B-4K together with the tool developed by BigCode and HuggingFace [(huggingface/huggingface-vscode: Code completion VSCode extension for OSS models (github.com))](https://github.com/huggingface/huggingface-vscode), to identify and, if necessary, attribute any outputs that match training code.
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### Limitations and bias
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This model is intended to be used responsibly. It is not intended to be used to create unlawful content of any kind, to further any unlawful activity, or to engage in activities with a high risk of physical or economic harm.
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