Seçkin Kükrer LeaveNhA

## mamba_peft.py
from datasets import load_dataset
from trl import SFTTrainer
from peft import LoraConfig
from transformers import AutoTokenizer, AutoModelForCausalLM, TrainingArguments
tokenizer = AutoTokenizer.from_pretrained("state-spaces/mamba-130m-hf")
model = AutoModelForCausalLM.from_pretrained("state-spaces/mamba-130m-hf")
dataset = load_dataset("Abirate/english_quotes", split="train")
training_args = TrainingArguments(
    output_dir="./results",
    num_train_epochs=3,

## venvremover.py
import os
import shutil


def remove_folders_recursively(start_path, folder_names, exclude_path):
    for root, dirs, files in os.walk(start_path, topdown=True):
        # Skip the excluded directory
        dirs[:] = [d for d in dirs if os.path.join(root, d) != exclude_path]

        for dir_name in dirs:

## gist:ea207e7d9e5f8c5f6a3252883ef16df3
1. # create new .py file with code found below
2. # install ollama
3. # install model you want “ollama run mistral”
4. conda create -n autogen python=3.11
5. conda activate autogen
6. which python
7. python -m pip install pyautogen
7. ollama run mistral
8. ollama run codellama
9. # open new terminal

## Whisper_ANE_export.py
import torch
import torch.nn.functional as F
import coremltools as ct

from torch import Tensor
from torch import nn
from typing import Dict
from typing import Optional
from ane_transformers.reference.layer_norm import LayerNormANE as LayerNormANEBase
from coremltools.models.neural_network.quantization_utils import quantize_weights

## init.lua
hs.loadSpoon('SpoonInstall')
spoon.SpoonInstall.use_syncinstall = true
Install = spoon.SpoonInstall

log = hs.logger.new('init', 5)

-- function debugUI(msg, table)
--   log:d(msg)
--   log:d(hs.inspect(table))
-- end

## flappy.html
<body onload=z=c.getContext`2d`,setInterval(`c.width=W=150,Y<W&&P<Y&Y<P+E|9<p?z.fillText(S++${Y=`,9,9|z.fillRect(p`}*0,Y-=--M${Y+Y},P+E,9,W),P))):p=M=Y=S=6,p=p-6||(P=S%E,W)`,E=49) onclick=M=9><canvas id=c>

## testing_cljs.org

      
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                plexus
                / testing_cljs.org
            
            
              Created
              September 12, 2020 11:34
            
          
    2020-09-12 Testing ClojureScript itself

General

There are various test suites under src/test

  cljs
  cljs_cli
  clojure
  self


## VFIO.md

      
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                k-amin07
                / VFIO.md
            
            
              Last active
              March 28, 2024 22:15
            
              
                VFIO Guide for GPU Passthrough
              
          
    Introduction:

This guide is for achieving PCI-Passthrough with Intel 7700k and AMD RX 580. My host OS is Manjaro KDE edition, and guest is Windows 10.
Hardware:


Device Type
Device


CPU
Intel Core i7-7700K


Motherboard
ASUS Prime Z270P


RAM
Corsair Vengeance (DDR4 3000 MHz)


GPU (Host)
Intel HD Graphics


## Quirks of C.md

      
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              447 stars
            
          
                fay59
                / Quirks of C.md
            
            
              Last active
              January 23, 2024 04:24
            
              
                Quirks of C
              
          
    Here's a list of mildly interesting things about the C language that I learned mostly by consuming Clang's ASTs. Although surprises are getting sparser, I might continue to update this document over time.
There are many more mildly interesting features of C++, but the language is literally known for being weird, whereas C is usually considered smaller and simpler, so this is (almost) only about C.
1. Combined type and variable/field declaration, inside a struct scope [https://godbolt.org/g/Rh94Go]

struct foo {
   struct bar {
 int x;

  
## top-brew-packages.txt
node: Platform built on V8 to build network applications
git: Distributed revision control system
wget: Internet file retriever
yarn: JavaScript package manager
python3: Interpreted, interactive, object-oriented programming language
coreutils: GNU File, Shell, and Text utilities
pkg-config: Manage compile and link flags for libraries
chromedriver: Tool for automated testing of webapps across many browsers
awscli: Official Amazon AWS command-line interface
automake: Tool for generating GNU Standards-compliant Makefiles
	from datasets import load_dataset
	from trl import SFTTrainer
	from peft import LoraConfig
	from transformers import AutoTokenizer, AutoModelForCausalLM, TrainingArguments
	tokenizer = AutoTokenizer.from_pretrained("state-spaces/mamba-130m-hf")
	model = AutoModelForCausalLM.from_pretrained("state-spaces/mamba-130m-hf")
	dataset = load_dataset("Abirate/english_quotes", split="train")
	training_args = TrainingArguments(
	output_dir="./results",
	num_train_epochs=3,
	import os
	import shutil


	def remove_folders_recursively(start_path, folder_names, exclude_path):
	for root, dirs, files in os.walk(start_path, topdown=True):
	# Skip the excluded directory
	dirs[:] = [d for d in dirs if os.path.join(root, d) != exclude_path]

	for dir_name in dirs:
	1. # create new .py file with code found below
	2. # install ollama
	3. # install model you want “ollama run mistral”
	4. conda create -n autogen python=3.11
	5. conda activate autogen
	6. which python
	7. python -m pip install pyautogen
	7. ollama run mistral
	8. ollama run codellama
	9. # open new terminal
	import torch
	import torch.nn.functional as F
	import coremltools as ct

	from torch import Tensor
	from torch import nn
	from typing import Dict
	from typing import Optional
	from ane_transformers.reference.layer_norm import LayerNormANE as LayerNormANEBase
	from coremltools.models.neural_network.quantization_utils import quantize_weights
	hs.loadSpoon('SpoonInstall')
	spoon.SpoonInstall.use_syncinstall = true
	Install = spoon.SpoonInstall

	log = hs.logger.new('init', 5)

	-- function debugUI(msg, table)
	-- log:d(msg)
	-- log:d(hs.inspect(table))
	-- end
Device Type	Device
CPU	Intel Core i7-7700K
Motherboard	ASUS Prime Z270P
RAM	Corsair Vengeance (DDR4 3000 MHz)
GPU (Host)	Intel HD Graphics
	node: Platform built on V8 to build network applications
	git: Distributed revision control system
	wget: Internet file retriever
	yarn: JavaScript package manager
	python3: Interpreted, interactive, object-oriented programming language
	coreutils: GNU File, Shell, and Text utilities
	pkg-config: Manage compile and link flags for libraries
	chromedriver: Tool for automated testing of webapps across many browsers
	awscli: Official Amazon AWS command-line interface
	automake: Tool for generating GNU Standards-compliant Makefiles