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changed the naming convention of all the directory names to lowercase… #577

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5 changes: 5 additions & 0 deletions adminer/README.md
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Expand Up @@ -3,3 +3,8 @@
Adminer (formerly phpMinAdmin) is a full-featured database management tool written in PHP.
Conversely to phpMyAdmin, it consist of a single file ready to deploy to the target server.
Adminer is available for MySQL, PostgreSQL, SQLite, MS SQL, Oracle, Firebird, SimpleDB, Elasticsearch and MongoDB.


[!WARNING]

The developer has stopped working on this. Se https://github.com/TimWolla/docker-adminer/issues/147 for more details.
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5 changes: 0 additions & 5 deletions balancer/README.md

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40 changes: 0 additions & 40 deletions balancer/deploy.yaml

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7 changes: 0 additions & 7 deletions bancor/README.md

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2 changes: 1 addition & 1 deletion bert/deploy.yaml
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@@ -1,7 +1,7 @@
version: "2.0"
services:
bert:
image: clydedevv/bert-base-uncased:0.0.8
image: clydedevv/bert-base-uncased:0.0.9
expose:
- port: 80
as: 80
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2 changes: 1 addition & 1 deletion caddy/deploy.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ version: "2.0"

services:
caddy:
image: stefanprodan/caddy
image: caddy
expose:
- port: 80
to:
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21 changes: 21 additions & 0 deletions chatglm-6b/README.md
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@@ -0,0 +1,21 @@
# ChatGLM-6B on Akash Network

the original code repo is [here](https://github.com/THUDM/ChatGLM-6B)

## Introduction

ChatGLM-6B is an open bilingual language model based on [General Language Model (GLM)](https://github.com/THUDM/GLM) framework, with 6.2 billion parameters. With the quantization technique, users can deploy locally on consumer-grade graphics cards (only 6GB of GPU memory is required at the INT4 quantization level).

ChatGLM-6B uses technology similar to ChatGPT, optimized for Chinese QA and dialogue. The model is trained for about 1T tokens of Chinese and English corpus, supplemented by supervised fine-tuning, feedback bootstrap, and reinforcement learning with human feedback. With only about 6.2 billion parameters, the model is able to generate answers that are in line with human preference.

In order to facilitate downstream developers to customize the model for their own application scenarios, we also implements an parameter-efficient tuning method based on [P-Tuning v2](https://github.com/THUDM/P-tuning-v2)[(Guidelines)](ptuning/README_en.md). Tuning requires at least 7GB of GPU memory at INT4 quantization level.

Try the [online demo](https://huggingface.co/spaces/ysharma/ChatGLM-6b_Gradio_Streaming) on Huggingface Spaces.

## Web UI
![image](https://github.com/Normalnoise/awesome-akash/assets/102578774/149d62bd-39ec-4a5b-9a28-30a3b84ef9ee)


## Demo Video
https://github.com/Normalnoise/awesome-akash/assets/102578774/f4079b2d-a813-4ca6-b8ce-2a4523510fc4

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2 changes: 2 additions & 0 deletions dolt/README.md
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@@ -0,0 +1,2 @@
[Dolt]() is a version-controlled SQL database that allows you to branch, merge, and collaborate on your database the same way you do with Git. It's built for applications that require historical tracking, collaboration, and auditability.

34 changes: 18 additions & 16 deletions bancor/deploy.yaml → dolt/deploy.yaml
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@@ -1,40 +1,42 @@
---
version: "2.0"

services:
bancor:
image: sueinz/bancor:latest
dolt:
image: dolthub/dolt:latest
expose:
- port: 80
as: 80
- port: 3306
as: 3306
to:
- global: true
env:
- DOLT_ENABLE_VERSIONING=true
- DOLT_PASSWORD=<your_password>

profiles:
compute:
bancor:
dolt:
resources:
cpu:
units: 0.1
units: 0.5
memory:
size: 512Mi
size: 1024Mi
storage:
size: 512Mi
size: 5Gi
placement:
akash:
any:
attributes:
host: akash
signedBy:
anyOf:
- "akash1365yvmc4s7awdyj3n2sav7xfx76adc6dnmlx63"
- "akash18qa2a2ltfyvkyj0ggj3hkvuj6twzyumuaru9s4"
pricing:
bancor:
dolt:
denom: uakt
amount: 10000
amount: 2000

deployment:
bancor:
akash:
profile: bancor
dolt:
any:
profile: dolt
count: 1

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4 changes: 2 additions & 2 deletions README.md → readme.md
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@@ -1,4 +1,4 @@
# Awesome Akash <!-- omit in toc -->
.md # Awesome Akash <!-- omit in toc -->

Awesome Akash is a curated list of awesome resources people can use to familiarize themselves with [Akash](https://akash.network) and includes examples of several applications they can deploy on the platform. Please submit a pull request if you know any resources that might be helpful to other developers.

Expand Down Expand Up @@ -173,6 +173,7 @@ Also, follow [@akashnet\_](https://twitter.com/akashnet_) to stay in the loop wi
- [InfluxDB](influxdb)
- [SurrealDB](SurrealDB)
- [DefraDB](defradb)
- [Dolt](dolt)

### DeFi

Expand All @@ -184,7 +185,6 @@ Awesome DeFi apps you can deploy on Akash
- [Pancake Swap](pancake-swap)
- [Augur](augur)
- [Bancor](bancor)
- [Balancer](balancer)
- [Luaswap](luaswap)
- [SushiSwap](sushiswap)
- [Uma Protocol](uma-protocol)
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