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@DaniloKorvo
DaniloKorvo / testeGist.html
Created February 11, 2025 21:16
<!DOCTYPE html>
<html lang="pt-br">
<head>
<title>Página Teste</title>
<meta charset="utf-8">
</head>
<body>
<h1>Teste Git/Github</h1>
<h2>Branch</h2>
<p></p>
@jakka351
jakka351 / printerr.cs
Created February 11, 2025 21:16
0x7F Negative Response Codes, based on original "printerr" method by JasonACT
#region Copyright (c) 2024, Jack Leighton
// ///// __________________________________________________________________________________________________________________
// /////
// ///// __ __ __________ __
// ///// _/ |_ ____ _______/ |_ __________\______ \_______ ____ ______ ____ _____/ |_
// ///// \ __\/ __ \ / ___/\ __\/ __ \_ __ \ ___/\_ __ \_/ __ \ / ___// __ \ / \ __\
// ///// | | \ ___/ \___ \ | | \ ___/| | \/ | | | \/\ ___/ \___ \\ ___/| | \ |
// ///// |__| \___ >____ > |__| \___ >__| |____| |__| \___ >____ >\___ >___| /__|
// ///// \/ \/ \/ \/ \/ \/ \/
// ///// .__ .__ .__ __
@GDTuka
GDTuka / main.dart
Created February 11, 2025 21:16
import 'dart:async';
import 'package:flutter/material.dart';
import 'package:flutter_application_1/padi.dart';
Future<void> main() async {
runApp(
PadiWidget(
create: GlobalScope.new,
child: const MyApp(),
@linux-riscv-bot
linux-riscv-bot / checkpatch-WARNING
Created February 11, 2025 21:14
pw932597-p13969366
WARNING: Argument 'task' is not used in function-like macro
#66: FILE: arch/riscv/include/asm/usercfi.h:53:
+#define is_shstk_locked(task) false
WARNING: Argument 'task' is not used in function-like macro
#68: FILE: arch/riscv/include/asm/usercfi.h:55:
+#define is_shstk_allocated(task) false
WARNING: Argument 'task' is not used in function-like macro
#70: FILE: arch/riscv/include/asm/usercfi.h:57:
@raca159
raca159 / peft-lora-finetune__quantization_impact.md
Created February 11, 2025 21:14
model_name LoRA r dataset_size quantized learning_rate final eval loss
SmolLM2-360M-Instruct 4 small false 0.0005 0.16702
SmolLM2-360M-Instruct 4 small true 0.0005 0.17071
@rh-operator-bundle-bot
rh-operator-bundle-bot / cert-image.json
Created February 11, 2025 21:14
{
"certified": false,
"deleted": false,
"docker_image_digest": "sha256:fe658b0927d9e38c2676c825a8db2684183090f06e307120706d5188204c6819",
"docker_image_id": "sha256:1bb613b74789e7e20fcc8d3fcab67c0662e538d2a707095eb7cb50bb20a13fab",
"image_id": "sha256:fe658b0927d9e38c2676c825a8db2684183090f06e307120706d5188204c6819",
"parsed_data": {
"architecture": "amd64",
"created": "2025-02-11 20:43:27.210578432 +0000 UTC",
"image_id": "sha256:fe658b0927d9e38c2676c825a8db2684183090f06e307120706d5188204c6819",
@flukyrobot
flukyrobot / test.js
Created February 11, 2025 21:14
butestrap
import { definePreset } from 'primevue/theming';
export default definePreset({
// Primitive color tokens
primitive: {
// Primary Bootstrap colors
blue: {
50: '#e3f2fd',
100: '#bbdefb',
200: '#90caf9',
@raca159
raca159 / peft-lora-finetune__param_table.md
Created February 11, 2025 21:14
Parameter Description
use_qlora Whether to use QLoRA (4-bit quantization) for training.
lora_r LoRA rank controls how many parameters will be injected (4, 8, 16)
model_name Either SmolLM2-135M-Instruct or SSmolLM2-360M-Instruct.
learning_rate Learning rate values (1e-4, 2e-4, 4e-4).
dataset_size Control the amount of samples (small or medium)
max_steps Number of training steps - fixed as 350 steps.
gradient_checkpointing Whether to enable gradient checkpointing - fixed as True to optimize resource usage
tf32 & bf16 Controls mixed precision - fixed as True to optimize resource usage
@torma616
torma616 / zellij_zsh_session_name_completion.patch
Created February 11, 2025 21:13
Zellij ZSH Tab Completion Session Name Patch
--- comp.zsh 2025-02-10 22:36:57
+++ session_completion.zsh 2025-02-11 16:11:57
@@ -2,6 +2,17 @@
autoload -U is-at-least
+_zellij_sessions() {
+ local line sessions desc; sessions=("${(@f)$(zellij ls -n)}")
+ local -a session_names_with_desc
+ for line in "${sessions[@]}"; do
@raca159
raca159 / peft-lora-finetune__hyper_results.md
Created February 11, 2025 21:13
model_name LoRA r dataset_size quantized learning_rate final eval loss
SmolLM2-360M-Instruct 4 small false 0.0005 0.16702
SmolLM2-360M-Instruct 8 small false 0.0005 0.17016
SmolLM2-360M-Instruct 4 small true 0.0005 0.17071
SmolLM2-360M-Instruct 8 small true 0.0005 0.17121
SmolLM2-135M-Instruct 4 medium false 0.0005 0.17130
SmolLM2-360M-Instruct 4 small true 0.0002 0.17333
SmolLM2-360M-Instruct 4 small false 0.0002 0.17467
SmolLM2-360M-Instruct 8 small false 0.0002 0.18794