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Xlangai Jedi 7B 1080p GGUF

Developed by bartowski
This is a Jedi - 7B - 1080p model quantized using llama.cpp, offering multiple quantization types for users to choose from, balancing file size and model quality.
Downloads 225
Release Time : 6/1/2025

Model Overview

This model is a quantized version of xlangai's Jedi - 7B - 1080p model, supporting various quantization types suitable for different hardware environments and performance needs.

Model Features

Multiple Quantization Types
Offers various quantization levels from Q2_K to Q8_0, allowing users to select the appropriate level based on hardware conditions and performance requirements.
Embedding/Output Weight Optimization
Certain quantization methods (e.g., Q3_K_XL, Q4_K_L) quantize embedding and output weights as Q8_0 to enhance model quality.
Online Repacking
Supports online repacking of weights to optimize performance for ARM and AVX machines.

Model Capabilities

Text Generation
Multi-turn Dialogue
Operation in Low-Memory Environments

Use Cases

Natural Language Processing
Dialogue Systems
Can be used to build intelligent dialogue systems supporting multi-turn interactions.
Text Generation
Generates high-quality text suitable for content creation, summarization, and similar scenarios.
Low-Resource Environment Applications
Edge Device Deployment
Enables operation on low-memory devices like Raspberry Pi through quantized models.
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