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DeepSeek-Coder-V2-Lite-Instruct-GGUF

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Model creator: DeepSeek
Original model: DeepSeek-Coder-V2-Lite-Instruct
GGUF quantization: provided by bartowski based on llama.cpp release b3166

Requires LM Studio 0.2.25, update can be downloaded from here: https://lmstudio.ai

Flash attention MUST be disabled for this model to work.

This is a brand new Mixture of Export (MoE) model from DeepSeek, specializing in coding instructions.
This model performs well across a series of coding benchmarks and should be used for both instruction following and code completion.

The best performing template is Deepseek Coder preset in your LM Studio.

This will format the prompt as follows:

You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science.",
### Instruction: {user_message}
### Response: {assistant_message}

The "official" template seems to tend towards generating Chinese, however if you'd like to use it you can set it up by choosing the LM Studio Blank Preset preset in your LM Studio and then:

Set your User Message Prefix to User:

Set your User Message Suffix to \n\nAssistant:

This will format the prompt as follows:

User: {user_message}

Assistant: {assistant_message}

This model is an MoE architecture, using 16B total weights with only 2.4B activated to achieve excellent inference speed.

DeepSeek-Coder-V2 is based on the DeepSeek-V2 model, further trained on 6 trillion high quality coding tokens to enhance coding and mathematical reasoning.

It supports an incredible 128k context length.

For more details, read their paper here: https://github.com/deepseek-ai/DeepSeek-Coder-V2/blob/main/paper.pdf

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp

🙏 Special thanks to Kalomaze and Dampf for their work on the dataset (linked here) that was used for calculating the imatrix for all sizes.

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