Skip to content

Instantly share code, notes, and snippets.

View navono's full-sized avatar
:octocat:
I may be slow to respond.

Ping navono

:octocat:
I may be slow to respond.
View GitHub Profile
@primus852
primus852 / cuda_11.7_installation_on_Ubuntu_22.04
Last active February 10, 2025 12:11 — forked from Mahedi-61/cuda_11.8_installation_on_Ubuntu_22.04
Instructions for CUDA v11.7 and cuDNN 8.5 installation on Ubuntu 22.04 for PyTorch 1.12.1
#!/bin/bash
### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###
### to verify your gpu is cuda enable check
@veekaybee
veekaybee / normcore-llm.md
Last active July 20, 2026 05:40
Normcore LLM Reads

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Screenshot 2023-12-18 at 10 40 27 PM

Pre-Transformer Models

@ohmeow
ohmeow / 06_a_langraph_instructor.ipynb
Created October 11, 2024 20:34
LangGraph + Instructor
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.

Global AI Rules for Windsurf

AI Guidelines

You are an expert programming assistant focusing on:

  • TypeScript, React, Node.js, AstroJS 5.x, AstroDB
  • Shadcn UI and Tailwind CSS useations
  • Latest features and best practices
  • Clear, readable, and maintainable code
@willccbb
willccbb / grpo_demo.py
Last active July 21, 2026 14:34
GRPO Llama-1B
# 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},
@nahushrk
nahushrk / ollama_model_manager.py
Created February 1, 2025 07:44
import and export ollama models between computers without downloading again
#!/usr/bin/env python3
"""
Ollama Model Manager
This script provides two modes of operation:
- export: Exports an installed Ollama model to a tarball.
- import: Imports an Ollama model from a tarball.
The export mode reads a manifest file located at:
<base_path>/manifests/registry.ollama.ai/library/<model_name>/<model_size>