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Seed Coder 8B Instruct GGUF
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Seed Coder 8B Instruct GGUF

Developed by ZeroWw
This model has undergone self-quantization processing, with output and embedding tensors quantized to f16 format, and the remaining tensors quantized to q5_k or q6_k format, resulting in a smaller size while maintaining performance comparable to pure f16.
Large Language Model EnglishOpen Source License:MIT#Efficient Quantization#Text Generation Optimization#Low Storage Requirements
Downloads 434
Release Time : 5/12/2025

Model Overview

An optimized quantized model primarily designed for text generation tasks, reducing model size through quantization techniques while preserving high performance.

Model Features

Efficient Quantization
Output and embedding tensors use f16 format, while the remaining tensors use q5_k or q6_k format, effectively reducing model size.
Performance Retention
The quantized model's performance is comparable to pure f16 format, with no significant performance loss.
Size Optimization
The f16.q6 and f16.q5 formats are smaller in size compared to standard q8_0 quantization, making deployment and usage more convenient.

Model Capabilities

Text Generation

Use Cases

Text Generation
Content Creation
Used for automatically generating articles, stories, or other text content.
Produces fluent and coherent text
Dialogue Systems
Used for building chatbots or virtual assistants.
Provides a natural conversational experience
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