Deepseek Coder V2 236B Instruct - Details

Deepseek Coder V2 236B Instruct is a large language model developed by Deepseek, featuring 236B parameters. It is available under the Deepseek License Agreement (DEEPSEEK-LICENSE), MIT License (MIT), MIT License (MIT), and Deepseek License Agreement (DEEPSEEK-LICENSE).

Deepseek Coder V2 236B Instruct is an open-source Mixture-of-Experts (MoE) code language model designed for coding and mathematical reasoning tasks. It achieves performance comparable to GPT4-Turbo in code-specific scenarios and is pre-trained on 6 trillion tokens, enhancing its capabilities in both coding and general language tasks. The model supports 338 programming languages and extends its context length to 128K tokens, making it highly versatile for complex tasks. It is available in 16B and 236B parameter variants, with active parameters of 2.4B and 21B respectively, offering flexibility for different use cases.

Deepseek Coder V2 236B Instruct features 236b parameters, placing it in the Very Large Models (70B+ Parameters) category, which enables advanced performance for complex tasks but requires significant computational resources. Its 128k context length falls under Very Long Contexts (128K+ Tokens), allowing it to handle extensive text sequences effectively, though this demands higher memory and processing power. The model’s large parameter count and extended context length make it particularly suited for intricate coding and mathematical reasoning tasks, where depth and breadth of understanding are critical.

• Parameter Size: 236b
• Context Length: 128k

Deepseek Coder V2 236B Instruct is a large language model designed for coding and programming tasks, with possible applications in areas like code completion and generation, code insertion and modification, and chat-based programming assistance. Its 236b parameter size and 128k context length suggest it could support possible use cases involving complex code analysis, multi-step problem-solving, or handling extensive codebases. However, these possible applications require thorough investigation to ensure alignment with specific needs and constraints. The model’s open-source nature and focus on code-related tasks make it a possible tool for developers seeking advanced programming support, but its effectiveness in real-world scenarios would depend on further testing and adaptation.

• code completion and generation
• code insertion and modification
• chat-based programming assistance

Deepseek Coder V2 236B Instruct is a large-scale language model with possible applications in areas such as code generation and refinement, automated code documentation, multi-language project development, and interactive coding tutorials. Its 236b parameter size and 128k context length make it possible to handle complex coding tasks, support extensive codebases, and adapt to diverse programming languages. However, these possible uses require careful evaluation to ensure they meet specific requirements and constraints. The model’s open-source nature and focus on code-related tasks suggest it could be possible to leverage for research, development, or educational purposes, but each application must be thoroughly tested before deployment.

• code generation and refinement
• automated code documentation
• multi-language project development
• interactive coding tutorials

Deepseek Coder V2 236B Instruct’s medium q4 version requires hardware capable of handling models with up to 32B parameters, which typically demands multiple GPUs with at least 48GB VRAM and 32GB+ system memory. This possible configuration ensures the model can run efficiently while balancing precision and performance. However, specific requirements may vary based on implementation and workload. Each application must be thoroughly evaluated to confirm compatibility with available hardware.

• fp16, q2, q3, q4, q5, q6, q8

Deepseek Coder V2 236B Instruct is an open-source Mixture-of-Experts (MoE) model with 236B parameters and a 128K context length, designed for advanced code-related tasks. It offers possible applications in code generation, modification, and programming assistance, but requires thorough evaluation for specific use cases.

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