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Menlo Jan Nano GGUF

Developed by bartowski
Quantize the Menlo/Jan - nano model based on llama.cpp, providing model files of various quantization types to meet different hardware and performance requirements.
Downloads 190
Release Time : 6/15/2025

Model Overview

This project provides multiple quantized versions of the Menlo/Jan - nano model, suitable for different hardware configurations and usage scenarios, and supports running in tools such as LM Studio or llama.cpp.

Model Features

Multiple quantization types
Provide model files of various quantization types such as bf16, Q8_0, Q6_K_L, etc. Users can choose according to hardware and performance requirements.
Optimized weight processing
Some quantized models use the standard quantization method of quantizing embedding and output weights to Q8_0 to improve performance.
Online repackaging function
Support online repackaging of weights for some quantized models to improve performance on ARM and AVX machines.

Model Capabilities

Text generation
Multilingual support
Low - memory operation

Use Cases

Natural language processing
Dialogue system
Can be used to build a dialogue system, supporting multi - turn conversations.
Text generation
Suitable for various text generation tasks, such as article writing, code generation, etc.
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