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Deepseek Llm 7B Base AWQ

Developed by TheBloke
Deepseek LLM 7B Base is a 7B-parameter foundational large language model optimized for inference efficiency using AWQ quantization technology.
Downloads 1,863
Release Time : 11/29/2023

Model Overview

This model is a 7B-parameter foundational language model developed by DeepSeek, supporting efficient 4-bit quantized inference and suitable for various text generation tasks.

Model Features

Efficient Quantization
Utilizes AWQ 4-bit quantization technology to significantly improve inference speed while maintaining model quality.
Long Context Support
Supports context lengths of up to 4096 tokens.
Multi-platform Compatibility
Compatible with various inference platforms including text generation web interfaces, vLLM, and Hugging Face TGI.

Model Capabilities

Text generation
Question answering systems
Content creation
Code generation

Use Cases

Content creation
Story writing
Generate coherent short stories or novel chapters
Can produce logical and stylistically consistent narrative content
Question answering systems
Knowledge Q&A
Answer various knowledge-based questions from users
Provides accurate and contextually relevant answers
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