王下邀月熊 wx-chevalier

## llama-home.md

      
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                rain-1
                / llama-home.md
            
            
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              May 16, 2024 04:58
            
              
                How to run Llama 13B with a 6GB graphics card
              
          
    This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet.
It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.
It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.


## create_namespace_and_serivce_account_for_it.sh
#!/usr/bin/env bash

# namespace you want to create
NAMESPACE=<namespace>

# cluster configuration
CLUSTER_SERVER=https://<your-cluster-endpoint>
CLUSTER_NAME=<your-cluster-name>

# customize these names as needed

## riscv.md

      
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                cb372
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              May 9, 2024 07:27
            
              
                Writing an OS in Rust to run on RISC-V
              
          
    (This is a translation of the original article in
Japanese by
moratorium08.)
(UPDATE (22/3/2019): Added some corrections provided by the original author.)
Writing your own OS to run on a handmade CPU is a pretty ambitious project, but
I've managed to get it working pretty well so I'm going to write some notes
about how I did it.

  
## datebase_demo.sql
SET NAMES utf8;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
--  Table structure for `component`
-- ----------------------------
DROP TABLE IF EXISTS `component`;
CREATE TABLE `component` (
  `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
  `uuid` varchar(40) DEFAULT NULL,

## coverage.js
Moved to https://github.com/ebidel/puppeteer-examples

## es-data.sh
curl -XPUT "http://localhost:9200/movies/movie/1" -d'
{
    "title": "The Godfather",
    "director": "Francis Ford Coppola",
    "year": 1972,
    "genres": ["Crime", "Drama"]
}'

curl -XPUT "http://localhost:9200/movies/movie/2" -d'
{

## understanding-word-vectors.ipynb

      
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                aparrish
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              May 22, 2024 14:36
            
              
                Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
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	#!/usr/bin/env bash

	# namespace you want to create
	NAMESPACE=<namespace>

	# cluster configuration
	CLUSTER_SERVER=https://<your-cluster-endpoint>
	CLUSTER_NAME=<your-cluster-name>

	# customize these names as needed
	SET NAMES utf8;
	SET FOREIGN_KEY_CHECKS = 0;

	-- ----------------------------
	-- Table structure for `component`
	-- ----------------------------
	DROP TABLE IF EXISTS `component`;
	CREATE TABLE `component` (
	`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
	`uuid` varchar(40) DEFAULT NULL,
	curl -XPUT "http://localhost:9200/movies/movie/1" -d'
	{
	"title": "The Godfather",
	"director": "Francis Ford Coppola",
	"year": 1972,
	"genres": ["Crime", "Drama"]
	}'

	curl -XPUT "http://localhost:9200/movies/movie/2" -d'
	{