Revert "🚀 Dockerize llamacpp (antimatter15#132)"

This reverts commit 2af23d3.

Author: anzz1

.devops/full.Dockerfile

@@ -17,7 +17,7 @@ env:
  BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
 
 jobs:
-  ubuntu-latest-make:
+  ubuntu-latest:
     runs-on: ubuntu-latest
 
     steps:
@@ -36,27 +36,8 @@ jobs:
         run: |
           make
 
-  ubuntu-latest-cmake:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Clone
-        uses: actions/checkout@v1
-
-      - name: Dependencies
-        run: |
-          sudo apt-get update
-          sudo apt-get install build-essential
-
-      - name: Build
-        run: |
-          mkdir build
-          cd build
-          cmake ..
-          cmake --build . --config Release
-
-  macOS-latest-make:
-    runs-on: macos-latest
+  macOS-latest:
+    runs-on: macOS-latest
 
     steps:
       - name: Clone
@@ -73,25 +54,7 @@ jobs:
         run: |
           make
 
-  macOS-latest-cmake:
-    runs-on: macOS-latest
-
-    steps:
-      - name: Clone
-        uses: actions/checkout@v1
-
-      - name: Dependencies
-        run: |
-          brew update
-
-      - name: Build
-        run: |
-          mkdir build
-          cd build
-          cmake ..
-          cmake --build . --config Release
-
-  windows-latest-cmake:
+  windows-latest:
     runs-on: windows-latest
 
     steps:

.devops/main.Dockerfile

@@ -32,7 +32,6 @@ Supported platforms:
 - [X] Mac OS
 - [X] Linux
 - [X] Windows (via CMake)
-- [X] Docker
 
 ---
 
@@ -237,38 +236,6 @@ Finally, copy the `llama` binary and the model files to your device storage. Her
 
 https://user-images.githubusercontent.com/271616/225014776-1d567049-ad71-4ef2-b050-55b0b3b9274c.mp4
 
-### Docker
-
-#### Prerequisites
-* Docker must be installed and running on your system.
-* Create a folder to store big models & intermediate files (in ex. im using /llama/models)
-
-#### Images
-We have two Docker images available for this project:
-
-1. `ghcr.io/ggerganov/llama.cpp:full`: This image includes both the main executable file and the tools to convert LLaMA models into ggml and convert into 4-bit quantization.
-2. `ghcr.io/ggerganov/llama.cpp:light`: This image only includes the main executable file.
-
-#### Usage
-
-The easiest way to download the models, convert them to ggml and optimize them is with the --all-in-one command which includes the full docker image.
-
- ```bash
-docker run -v /llama/models:/models ghcr.io/ggerganov/llama.cpp:full --all-in-one "/models/" 7B
-```
-
-On complete, you are ready to play!
-
-```bash
-docker run -v /llama/models:/models ghcr.io/ggerganov/llama.cpp:full --run -m /models/7B/ggml-model-q4_0.bin -p "Building a website can be done in 10 simple steps:" -n 512
-```
-
-or with light image:
-
-```bash
-docker run -v /llama/models:/models ghcr.io/ggerganov/llama.cpp:light -m /models/7B/ggml-model-q4_0.bin -p "Building a website can be done in 10 simple steps:" -n 512
-```
-
 ## Limitations
 
 - We don't know yet how much the quantization affects the quality of the generated text