Deep Seek Coder V2 Lite Instruct G G U F

Introduction

DeepSeek-Coder-V2-Lite-Instruct-GGUF is a Mixture of Expert (MoE) model by DeepSeek, designed to excel in coding instruction tasks. It is optimized for instruction following and code completion, outperforming on various coding benchmarks. The model leverages a sophisticated architecture to deliver high-quality outputs in computer science domains.

Architecture

The model utilizes an MoE architecture with 16 billion parameters, with 2.4 billion actively engaged for efficient inference. It is derived from the DeepSeek-V2 model and is trained on 6 trillion coding tokens, enhancing its capabilities in coding and mathematical reasoning. It supports a context length of up to 128k, providing a robust framework for complex tasks.

Training

DeepSeek-Coder-V2-Lite-Instruct is trained on a massive dataset of high-quality coding tokens, designed to bolster its performance in coding-related tasks. The training regime focuses on improving both coding and mathematical reasoning, making it adept at handling intricate instruction-based queries.

Guide: Running Locally

1. Requirements: Ensure you have LM Studio version 0.2.25 installed. Flash attention must be disabled for compatibility.
2. Prompt Setup: Use the "Deepseek Coder" preset for optimal performance. Alternatively, configure the prompt using the "Blank Preset" by setting user message prefixes and suffixes appropriately.
3. Execution: Run the model with the provided configurations for text generation tasks.
4. Hardware Suggestion: For enhanced performance, consider using cloud GPU services such as AWS, Google Cloud, or Azure.

License

The model is licensed under the deepseek-license. For more legal information, refer to the LICENSE document.