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 |
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import { definePreset } from 'primevue/theming'; | |
export default definePreset({ | |
// Primitive color tokens | |
primitive: { | |
// Primary Bootstrap colors | |
blue: { | |
50: '#e3f2fd', | |
100: '#bbdefb', | |
200: '#90caf9', |
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--- 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 |
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 |
model_name | LoRA r | dataset_size | quantized | learning_rate | final eval loss |
---|---|---|---|---|---|
SmolLM2-135M-Instruct | 4 | medium | false | 0.0005 | 0.17130 |
SmolLM2-135M-Instruct | 8 | medium | false | 0.0005 | 0.18854 |
SmolLM2-135M-Instruct | 4 | small | false | 0.0005 | 0.19940 |
SmolLM2-135M-Instruct | 8 | small | false | 0.0005 | 0.21265 |
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using System; | |
using System.ComponentModel.Design; | |
using System.Runtime.CompilerServices; | |
using System.Security.Cryptography; | |
namespace HW2_3_5 | |
{ | |
internal class Program | |
{ |
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<?php | |
/* | |
Plugin Name: Gravity Forms Encryptorator | |
Plugin URI: https://github.com/humanmade/Gravity-Forms-Encryptorator | |
Description: Encrypt all Gravity Forms data on the way into the database using openssl public encryption, data can only be decrypted with the associated private key. | |
Author: Human Made Limited | |
Version: 1.0 Alpha | |
Author URI: http://www.hmn.md/ | |
*/ |
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#include <iostream> | |
using namespace std; | |
int main() { | |
//создаю двухмерный массив | |
int const ROWS = 3; | |
int const COLS = 3; | |
int arr [ROWS][COLS]; | |
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├── .gitignore | |
├── LICENSE | |
├── README.md | |
├── images | |
├── jupiter-python-sdk-banner.png | |
├── jupiter-python-sdk-logo-transparent.png | |
└── jupiter-python-sdk-logo.jpg | |
├── requirements.txt | |
└── src | |
├── LICENSE.txt |