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Running a private Qwen3.6 Coding Agent on Scaleway
Machine Learning & AIen27 avr. 2026

Running a private Qwen3.6 Coding Agent on Scaleway

This is the Scaleway sequel to two previous posts on self hosted coding agents: the AWS run where we deployed a 27B model on a g5.xlarge, and the consumer GPU experiment where we…

#LLM#Qwen#llama.cpp
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Running a Local LLM on a Consumer GPU [8 GB VRAM]
Machine Learning & AIen18 avr. 2026

Running a Local LLM on a Consumer GPU [8 GB VRAM]

Any spare VRAM? In a previous post, we ran Qwen3.5 27B on an AWS g5.xlarge with an NVIDIA A10G (24 GB VRAM). This follow up covers the same workflow on a consumer laptop GPU with…

#LLM#Qwen#llama.cpp
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Running a Local LLM Coding Agent on AWS
Machine Learning & AIen11 avr. 2026

Running a Local LLM Coding Agent on AWS

We deploy Qwen3.5 27B on a single GPU instance, serve it with llama.cpp, wire it to OpenCode as a coding agent frontend, and run ToolCall 15 to measure tool calling quality. The…

#LLM#Qwen#llama.cpp
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Zipf's Law on "La Comédie humaine"
Machine Learning & AIen11 mai 2025

Zipf's Law on "La Comédie humaine"

In this Python notebook, we're going to explore Zipf's law as applied to words. Zipf's law is an empirical law stating that when a list of measured values is sorted in decreasing…

#scraping#Python#scikit-learn
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Analyzing tramontane wind frequency
Machine Learning & AIen10 nov. 2024

Analyzing tramontane wind frequency

The tramontane wind, a defining feature of Pyrénées Orientales region, is known for sweeping through the south of France with its characteristic force and direction from the…

#Python#Pandas#regression
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Calculating walking isochrones with Python
Machine Learning & AIen1 mars 2024

Calculating walking isochrones with Python

In this blog post, we'll explore how to calculate walking isochrones using Python, taking into account the slope of the terrain. An isochrone is a line connecting all points that…

#Python#Isochrones#Spatial analysis
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Calculating daily mean temperatures with scikit-learn
Machine Learning & AIen15 sept. 2023

Calculating daily mean temperatures with scikit-learn

The goal is of this post is to predict the daily mean air temperature TAVG from the following climate data variables: maximum and minimum daily temperatures and daily…

#Python#supervised learning#regression
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Built-in Expectations in Great Expectations
Machine Learning & AIen3 sept. 2021

Built-in Expectations in Great Expectations

Great expectation is a Python tool for data testing, documentation, and profiling. Here is a figure from the documentation describing its purpose: Great Expectations makes it easy…

#Python#Data testing#MLOps
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Saving a tf.keras model with data normalization
Machine Learning & AIen29 janv. 2021

Saving a tf.keras model with data normalization

Training a DL model might take some time, and make use of some special hardware. So you may want to save the model for using it later, or on another computer. In this short Python…

#Datascience#Python#Machine Learning
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