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--- |
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base_model: |
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- deepseek-ai/deepseek-coder-6.7b-base |
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library_name: transformers |
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--- |
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# CAC-v0.1 |
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CAC is a large language model with 6.7B parameters specifically finetuned for code completions. |
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CAC, although trained for code autocompletion, can also be used for other code related tasks such as: |
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- Generation |
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- Summarization |
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- Translation |
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- Question Answering |
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- Optimization |
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- Debugging |
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- Code Review |
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and more. |
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--- |
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This is the very first version of CAC (0.1) and is still under development. For this version, we chose to go ahead with DeepSeek-Coder-6.7B as the base model. |
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--- |
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## Model Details |
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- Training Data: Exclusively fine-tuned on a proprietary dataset of 1.8 billion tokens of high-quality programming problems and solutions. |
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- The dataset was generated manually and is internal to CodeMate. |
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- Training Techniques: The model was fine-tuned using Flash Attention 2. |
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- A sequence length of 8096 tokens was used during training. |
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- Multilingual Support: CAC-v0.1 is proficient in multiple programming languages, including Python, C/C++, TypeScript, Java, and more. |
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--- |
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## Load the model with Transformers: |
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Make sure to install Transformers from the main git branch: |
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``` |
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pip install git+https://github.com/huggingface/transformers.git |
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``` |
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#### How to Prompt the Model: |
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This model accepts prompts in the Alpaca/Vicuna instruction format. For example: |
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``` |
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### System Prompt |
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You are an intelligent programming assistant. |
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### User Message |
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Implement a linked list in C++ |
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### Assistant |
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... |
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``` |
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You can also use the Mistral chat template for conversations: |
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``` |
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<s>[INST] .... [/INST] ... </s> |
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``` |
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#### Load the model: |
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``` |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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# Initialize the model |
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model_path = "codemateai/CodeMate-v0.1" |
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model = AutoModelForCausalLM.from_pretrained(model_path, device_map="auto") |
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tokenizer = AutoTokenizer.from_pretrained(model_path) |
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# ... generate response ... |
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``` |
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--- |
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## Limitations |
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This model has undergone very limited testing. CodeMate recommends additional safety testing before any real-world deployments. |
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For more information and updates, visit the [CodeMate website](https://codemate.ai). |
