Deepseek Coder 6.7B Instruct AWQ is an open-source language model by TheBloke. Features: 6.7b LLM, VRAM: 3.9GB, Context: 16K, License: other, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.2.
Deepseek Coder 6.7B Instruct AWQ Parameters and Internals
Model Type
deepseek
Additional Notes
TheBloke has quantized the model using AWQ methodology, supporting efficient, fast low-bit weight quantization, currently supporting 4-bit quantization.
Supported Languages
English (87%), Chinese (13%)
Training Details
Data Sources:
2T tokens of code and linguistic data in both English and Chinese languages
Data Volume:
2T tokens
Methodology:
window size of 16K and an extra fill-in-the-blank task
Context Length:
16384
Input Output
Input Format:
"You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer. ### Instruction: {prompt} ### Response: "
Rank the Deepseek Coder 6.7B Instruct AWQ 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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