DeepSeek Coder V2 Instruct 0724 is an open-source language model by deepseek-ai. Features: 235.7b LLM, VRAM: 378.4GB, Context: 160K, License: other, Instruction-Based, Code Generating, LLM Explorer Score: 0.16.
DeepSeek Coder V2 Instruct 0724 Parameters and Internals
Model Type
Mixture-of-Experts, Code Language Model
Use Cases
Areas:
Research, Commercial applications
Applications:
Code completion, Mathematical reasoning
Primary Use Cases:
Coding tasks, Mathematical computations
Additional Notes
Function calling and JSON output capabilities enhance the model's practical use.
Supported Languages
description (DeepSeek-Coder-V2 expands its support for programming languages from 86 to 338.), details (The full list of supported languages can be found in the specified link.), proficiency_level (Various)
Training Details
Data Sources:
Intermediate checkpoint of DeepSeek-V2, Additional 6 trillion tokens
Data Volume:
6 trillion tokens
Methodology:
Mixture-of-Experts (MoE)
Context Length:
128000
Model Architecture:
Mixture-of-Experts
Input Output
Input Format:
Code prompts
Accepted Modalities:
text
Output Format:
Text-based output, ability to generate code completions and reasoning.
Release Notes
Version:
V2
Notes:
Expanded support for programming languages to 338; improved context length to 128k.
Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/DeepSeek-Coder-V2-Instruct-0724.
Rank the DeepSeek Coder V2 Instruct 0724 Capabilities
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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation
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