Marcello Seri mseri

Preparation

First download mic2wav.swift above and compile it with swiftc mic2wav.swift. Move it to a bin folder on the path, or in the qwen-asr folder once it has been created.

Get and compile qwen-asr:

git clone https://github.com/antirez/qwen-asr
cd qwen-asr
make blas

Textbooks in Mathematics

A list of links to useful mathematical textbooks available for free on the Internet. They are all legal and maintained by their authors or by the legitimate publisher.

All the documents are in English. They are in a printable format - Postscript or Adobe Portable Document Format. You are free to download, read and print them. Here are some links to other sites offering lists of free mathematical textbooks.

For any comments, please, contact me: alex_stef@yahoo.com

Let's hack on `llm`!

If you have uv installed (and you should!), you can install llm globally in a uv-managed tool environment with:

uv tool install llm

If you want to use models other than OpenAI models, you'll need some extensions:

	# /// script
	# requires-python = ">=3.12"
	# dependencies = [
	# "transformers>=5.0.0rc1",
	# "mlx-audio==0.3.0rc1",
	# "click",
	# "numpy",
	# "soundfile",
	# "sounddevice",
	# ]

	# train_grpo.py
	#
	# See https://github.com/willccbb/verifiers for ongoing developments
	#
	"""
	citation:

	@misc{brown2025grpodemo,
	title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models},
	author={Brown, William},

	#!/bin/bash
	set -euo pipefail

	MODELS="aquif, gemma3, granite4, granite4-moe, lfm2, lfm2-moe, lfm2-vl, ministral3 (3,8B;i,r), nemotron, qwen3(i,r), voxtral"

	function usage() {
	echo "Usage: $0 <model> [options]"
	echo "Models: $MODELS."
	echo "Options:"
	echo " --dry to see the invocation string only"

	#!/usr/bin/swift
	// Started from the code in https://terminalbytes.com/iphone-8-solar-powered-vision-ocr-server/
	// Edited from Mistral generated code: https://chat.mistral.ai/chat/563cacdf-6def-49e4-9df6-ee8e263978c5
	import AppKit
	import CoreGraphics
	import Foundation
	import SwiftUI
	import Vision

	func processImageSync(imagePath: String) -> String? {

	import sys
	from io import StringIO

	import streamlit as st # pip install streamlit
	from code_editor import code_editor # pip install streamlit_code_editor
	import ollama as ol # pip install ollama

	st.set_page_config(layout='wide')
	st.title('`Offline code completion`')

	function HorizontalRule(el)
	return pandoc.RawBlock('tex', '\\newpage')
	end

	"""
	A minimal, fast example generating text with Llama 3.1 in MLX.

	To run, install the requirements:

	pip install -U mlx transformers fire

	Then generate text with:

	python l3min.py "How tall is K2?"

Marcello Seri mseri

Preparation

Textbooks in Mathematics

Let's hack on llm!

Let's hack on `llm`!