From cb3d88bdcc29b4764e4be9e3c6fd69714b48b2f2 Mon Sep 17 00:00:00 2001
From: nrvo <151435968+nrvo@users.noreply.github.com>
Date: Sat, 4 May 2024 16:31:09 +0200
Subject: [PATCH 1/6] [App] Ollama Nvidia

---
 apps/ollama-nvidia/config.json             |  18 ++++
 apps/ollama-nvidia/docker-compose.yml      |  48 +++++++++
 apps/ollama-nvidia/metadata/description.md | 108 +++++++++++++++++++++
 apps/ollama-nvidia/metadata/logo.jpg       | Bin 0 -> 33104 bytes
 4 files changed, 174 insertions(+)
 create mode 100755 apps/ollama-nvidia/config.json
 create mode 100755 apps/ollama-nvidia/docker-compose.yml
 create mode 100755 apps/ollama-nvidia/metadata/description.md
 create mode 100755 apps/ollama-nvidia/metadata/logo.jpg

diff --git a/apps/ollama-nvidia/config.json b/apps/ollama-nvidia/config.json
new file mode 100755
index 00000000..baf4214b
--- /dev/null
+++ b/apps/ollama-nvidia/config.json
@@ -0,0 +1,18 @@
+{
+  "$schema": "../schema.json",
+  "name": "Ollama - Nvidia",
+  "available": true,
+  "exposable": true,
+  "port": 11435,
+  "id": "ollama-nvidia",
+  "tipi_version": 1,
+  "version": "0.1.32",
+  "categories": ["ai"],
+  "description": "Get up and running with Llama 3, Mistral, Gemma, and other large language models.",
+  "short_desc": "LLMs inference server with OpenAI compatible API",
+  "author": "ollama",
+  "source": "https://github.com/ollama/ollama",
+  "website": "https://ollama.com",
+  "form_fields": [],
+  "supported_architectures": ["arm64", "amd64"]
+}
diff --git a/apps/ollama-nvidia/docker-compose.yml b/apps/ollama-nvidia/docker-compose.yml
new file mode 100755
index 00000000..153fdcbf
--- /dev/null
+++ b/apps/ollama-nvidia/docker-compose.yml
@@ -0,0 +1,48 @@
+version: '3.7'
+
+services:
+  ollama-nvidia:
+    image: ollama/ollama
+    restart: unless-stopped
+    container_name: ollama-nvidia
+    environment:
+      - PORT=11435
+    ports:
+      - '${APP_PORT}:11435'
+    networks:
+      - tipi_main_network
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities:
+              - gpu
+    volumes:
+      - ${APP_DATA_DIR}/.ollama:/root/.ollama
+    labels:
+      # Main
+      traefik.enable: true
+      traefik.http.middlewares.ollama-nvidia-web-redirect.redirectscheme.scheme: https
+      traefik.http.services.ollama-nvidia.loadbalancer.server.port: 11435
+      # Web
+      traefik.http.routers.ollama-nvidia-insecure.rule: Host(`${APP_DOMAIN}`)
+      traefik.http.routers.ollama-nvidia-insecure.entrypoints: web
+      traefik.http.routers.ollama-nvidia-insecure.service: ollama-nvidia
+      traefik.http.routers.ollama-nvidia-insecure.middlewares: ollama-nvidia-web-redirect
+      # Websecure
+      traefik.http.routers.ollama-nvidia.rule: Host(`${APP_DOMAIN}`)
+      traefik.http.routers.ollama-nvidia.entrypoints: websecure
+      traefik.http.routers.ollama-nvidia.service: ollama-nvidia
+      traefik.http.routers.ollama-nvidia.tls.certresolver: myresolver
+      # Local domain
+      traefik.http.routers.ollama-nvidia-local-insecure.rule: Host(`ollama-nvidia.${LOCAL_DOMAIN}`)
+      traefik.http.routers.ollama-nvidia-local-insecure.entrypoints: web
+      traefik.http.routers.ollama-nvidia-local-insecure.service: ollama-nvidia
+      traefik.http.routers.ollama-nvidia-local-insecure.middlewares: ollama-nvidia-web-redirect
+      # Local domain secure
+      traefik.http.routers.ollama-nvidia-local.rule: Host(`ollama-nvidia.${LOCAL_DOMAIN}`)
+      traefik.http.routers.ollama-nvidia-local.entrypoints: websecure
+      traefik.http.routers.ollama-nvidia-local.service: ollama-nvidia
+      traefik.http.routers.ollama-nvidia-local.tls: true
diff --git a/apps/ollama-nvidia/metadata/description.md b/apps/ollama-nvidia/metadata/description.md
new file mode 100755
index 00000000..369a19cf
--- /dev/null
+++ b/apps/ollama-nvidia/metadata/description.md
@@ -0,0 +1,108 @@
+# Ollama - Nvidia
+[Ollama](https://github.com/ollama/ollama) allows you to run open-source large language models, such as Llama 3 & , locally. Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile.
+
+---
+
+## Nvidia Instructions
+To enable your Nvidia GPU in Docker :
+- You need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation)
+
+- And configure Docker to use Nvidia driver
+```sh
+sudo nvidia-ctk runtime configure --runtime=docker
+sudo systemctl restart docker
+```
+---
+
+## Usage
+
+### Use with a frontend
+- [LobeChat](https://github.com/lobehub/lobe-chat)
+- [LibreChat](https://github.com/danny-avila/LibreChat)
+- [OpenWebUI](https://github.com/open-webui/open-webui)
+- [And more ...](https://github.com/ollama/ollama)
+
+---
+
+### Try the REST API
+Ollama has a REST API for running and managing models.
+
+**Generate a response**
+```sh
+curl http://localhost:11434/api/generate -d '{
+  "model": "llama3",
+  "prompt":"Why is the sky blue?"
+}'
+```
+
+**Chat with a model**
+```sh
+curl http://localhost:11434/api/chat -d '{
+  "model": "llama3",
+  "messages": [
+    { "role": "user", "content": "why is the sky blue?" }
+  ]
+}'
+```
+---
+
+### Try in terminal
+```sh
+docker exec -it ollama-nvidia ollama run llama3 --verbose
+```
+
+---
+
+## Compatible GPUs
+Ollama supports Nvidia GPUs with compute capability 5.0+.
+
+Check your compute compatibility to see if your card is supported:
+[https://developer.nvidia.com/cuda-gpus](https://developer.nvidia.com/cuda-gpus)
+
+| Compute Capability | Family              | Cards                                                                                                       |
+| ------------------ | ------------------- | ----------------------------------------------------------------------------------------------------------- |
+| 9.0                | NVIDIA              | `H100`                                                                                                      |
+| 8.9                | GeForce RTX 40xx    | `RTX 4090` `RTX 4080` `RTX 4070 Ti` `RTX 4060 Ti`                                                           |
+|                    | NVIDIA Professional | `L4` `L40` `RTX 6000`                                                                                       |
+| 8.6                | GeForce RTX 30xx    | `RTX 3090 Ti` `RTX 3090` `RTX 3080 Ti` `RTX 3080` `RTX 3070 Ti` `RTX 3070` `RTX 3060 Ti` `RTX 3060`         |
+|                    | NVIDIA Professional | `A40` `RTX A6000` `RTX A5000` `RTX A4000` `RTX A3000` `RTX A2000` `A10` `A16` `A2`                          |
+| 8.0                | NVIDIA              | `A100` `A30`                                                                                                |
+| 7.5                | GeForce GTX/RTX     | `GTX 1650 Ti` `TITAN RTX` `RTX 2080 Ti` `RTX 2080` `RTX 2070` `RTX 2060`                                    |
+|                    | NVIDIA Professional | `T4` `RTX 5000` `RTX 4000` `RTX 3000` `T2000` `T1200` `T1000` `T600` `T500`                                 |
+|                    | Quadro              | `RTX 8000` `RTX 6000` `RTX 5000` `RTX 4000`                                                                 |
+| 7.0                | NVIDIA              | `TITAN V` `V100` `Quadro GV100`                                                                             |
+| 6.1                | NVIDIA TITAN        | `TITAN Xp` `TITAN X`                                                                                        |
+|                    | GeForce GTX         | `GTX 1080 Ti` `GTX 1080` `GTX 1070 Ti` `GTX 1070` `GTX 1060` `GTX 1050`                                     |
+|                    | Quadro              | `P6000` `P5200` `P4200` `P3200` `P5000` `P4000` `P3000` `P2200` `P2000` `P1000` `P620` `P600` `P500` `P520` |
+|                    | Tesla               | `P40` `P4`                                                                                                  |
+| 6.0                | NVIDIA              | `Tesla P100` `Quadro GP100`                                                                                 |
+| 5.2                | GeForce GTX         | `GTX TITAN X` `GTX 980 Ti` `GTX 980` `GTX 970` `GTX 960` `GTX 950`                                          |
+|                    | Quadro              | `M6000 24GB` `M6000` `M5000` `M5500M` `M4000` `M2200` `M2000` `M620`                                        |
+|                    | Tesla               | `M60` `M40`                                                                                                 |
+| 5.0                | GeForce GTX         | `GTX 750 Ti` `GTX 750` `NVS 810`                                                                            |
+|                    | Quadro              | `K2200` `K1200` `K620` `M1200` `M520` `M5000M` `M4000M` `M3000M` `M2000M` `M1000M` `K620M` `M600M` `M500M`  |
+
+
+---
+
+## Model library
+Ollama supports a list of models available on [ollama.com/library](https://ollama.com/library 'ollama model library')
+
+Here are some example models that can be downloaded:
+
+| Model              | Parameters | Size  | Download                       |
+| ------------------ | ---------- | ----- | ------------------------------ |
+| Llama 3            | 8B         | 4.7GB | `ollama run llama3`            |
+| Llama 3            | 70B        | 40GB  | `ollama run llama3:70b`        |
+| Phi-3              | 3,8B       | 2.3GB | `ollama run phi3`              |
+| Mistral            | 7B         | 4.1GB | `ollama run mistral`           |
+| Neural Chat        | 7B         | 4.1GB | `ollama run neural-chat`       |
+| Starling           | 7B         | 4.1GB | `ollama run starling-lm`       |
+| Code Llama         | 7B         | 3.8GB | `ollama run codellama`         |
+| Llama 2 Uncensored | 7B         | 3.8GB | `ollama run llama2-uncensored` |
+| LLaVA              | 7B         | 4.5GB | `ollama run llava`             |
+| Gemma              | 2B         | 1.4GB | `ollama run gemma:2b`          |
+| Gemma              | 7B         | 4.8GB | `ollama run gemma:7b`          |
+| Solar              | 10.7B      | 6.1GB | `ollama run solar`             |
+
+> Note: You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.
\ No newline at end of file
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HcmV?d00001


From f073e25626426f1a2d5741d5ec3a06c2ebc2aef1 Mon Sep 17 00:00:00 2001
From: nrvo <151435968+nrvo@users.noreply.github.com>
Date: Sat, 4 May 2024 16:38:10 +0200
Subject: [PATCH 2/6] Update description.md

---
 apps/ollama-nvidia/metadata/description.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/apps/ollama-nvidia/metadata/description.md b/apps/ollama-nvidia/metadata/description.md
index 369a19cf..bf4f2f27 100755
--- a/apps/ollama-nvidia/metadata/description.md
+++ b/apps/ollama-nvidia/metadata/description.md
@@ -1,5 +1,5 @@
 # Ollama - Nvidia
-[Ollama](https://github.com/ollama/ollama) allows you to run open-source large language models, such as Llama 3 & , locally. Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile.
+[Ollama](https://github.com/ollama/ollama) allows you to run open-source large language models, such as Llama 3 & Mistral, locally. Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile.
 
 ---
 
@@ -105,4 +105,4 @@ Here are some example models that can be downloaded:
 | Gemma              | 7B         | 4.8GB | `ollama run gemma:7b`          |
 | Solar              | 10.7B      | 6.1GB | `ollama run solar`             |
 
-> Note: You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.
\ No newline at end of file
+> Note: You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.

From fbd4c9540112425efee7c610789edba46ac51c04 Mon Sep 17 00:00:00 2001
From: nrvo <151435968+nrvo@users.noreply.github.com>
Date: Sat, 4 May 2024 16:38:32 +0200
Subject: [PATCH 3/6] Update apps/ollama-nvidia/metadata/description.md

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
---
 apps/ollama-nvidia/metadata/description.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/apps/ollama-nvidia/metadata/description.md b/apps/ollama-nvidia/metadata/description.md
index bf4f2f27..fe6e4744 100755
--- a/apps/ollama-nvidia/metadata/description.md
+++ b/apps/ollama-nvidia/metadata/description.md
@@ -4,7 +4,7 @@
 ---
 
 ## Nvidia Instructions
-To enable your Nvidia GPU in Docker :
+To enable your Nvidia GPU in Docker:
 - You need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation)
 
 - And configure Docker to use Nvidia driver

From df76c7de0b75e384f1524657ba87db761281846d Mon Sep 17 00:00:00 2001
From: nrvo <151435968+nrvo@users.noreply.github.com>
Date: Sat, 4 May 2024 17:05:01 +0200
Subject: [PATCH 4/6] Update config.json

---
 apps/ollama-nvidia/config.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/apps/ollama-nvidia/config.json b/apps/ollama-nvidia/config.json
index baf4214b..e6474a5e 100755
--- a/apps/ollama-nvidia/config.json
+++ b/apps/ollama-nvidia/config.json
@@ -6,7 +6,7 @@
   "port": 11435,
   "id": "ollama-nvidia",
   "tipi_version": 1,
-  "version": "0.1.32",
+  "version": "0.1.33",
   "categories": ["ai"],
   "description": "Get up and running with Llama 3, Mistral, Gemma, and other large language models.",
   "short_desc": "LLMs inference server with OpenAI compatible API",

From c063892680742f1215b35bfb8dc1daa5ede28fdc Mon Sep 17 00:00:00 2001
From: nrvo <151435968+nrvo@users.noreply.github.com>
Date: Sat, 4 May 2024 17:05:31 +0200
Subject: [PATCH 5/6] Update docker-compose.yml

---
 apps/ollama-nvidia/docker-compose.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/apps/ollama-nvidia/docker-compose.yml b/apps/ollama-nvidia/docker-compose.yml
index 153fdcbf..fc4de92b 100755
--- a/apps/ollama-nvidia/docker-compose.yml
+++ b/apps/ollama-nvidia/docker-compose.yml
@@ -2,7 +2,7 @@ version: '3.7'
 
 services:
   ollama-nvidia:
-    image: ollama/ollama
+    image: ollama/ollama:0.1.33
     restart: unless-stopped
     container_name: ollama-nvidia
     environment:

From 4b09d44d56d857d87d421095aa437d5219e68fd5 Mon Sep 17 00:00:00 2001
From: Nicolas Meienberger <github@thisprops.com>
Date: Sat, 11 May 2024 11:47:20 +0200
Subject: [PATCH 6/6] chore(ollama-nvidia): small config adjustments

---
 apps/ollama-nvidia/docker-compose.yml      | 10 ++++-----
 apps/ollama-nvidia/metadata/description.md | 24 +++++++++++-----------
 2 files changed, 16 insertions(+), 18 deletions(-)

diff --git a/apps/ollama-nvidia/docker-compose.yml b/apps/ollama-nvidia/docker-compose.yml
index fc4de92b..842c11d1 100755
--- a/apps/ollama-nvidia/docker-compose.yml
+++ b/apps/ollama-nvidia/docker-compose.yml
@@ -5,10 +5,8 @@ services:
     image: ollama/ollama:0.1.33
     restart: unless-stopped
     container_name: ollama-nvidia
-    environment:
-      - PORT=11435
     ports:
-      - '${APP_PORT}:11435'
+      - '${APP_PORT}:11434'
     networks:
       - tipi_main_network
     deploy:
@@ -18,14 +16,14 @@ services:
             - driver: nvidia
               count: all
               capabilities:
-              - gpu
+                - gpu
     volumes:
-      - ${APP_DATA_DIR}/.ollama:/root/.ollama
+      - ${APP_DATA_DIR}/data/.ollama:/root/.ollama
     labels:
       # Main
       traefik.enable: true
       traefik.http.middlewares.ollama-nvidia-web-redirect.redirectscheme.scheme: https
-      traefik.http.services.ollama-nvidia.loadbalancer.server.port: 11435
+      traefik.http.services.ollama-nvidia.loadbalancer.server.port: 11434
       # Web
       traefik.http.routers.ollama-nvidia-insecure.rule: Host(`${APP_DOMAIN}`)
       traefik.http.routers.ollama-nvidia-insecure.entrypoints: web
diff --git a/apps/ollama-nvidia/metadata/description.md b/apps/ollama-nvidia/metadata/description.md
index fe6e4744..dc2a4c21 100755
--- a/apps/ollama-nvidia/metadata/description.md
+++ b/apps/ollama-nvidia/metadata/description.md
@@ -1,22 +1,24 @@
-# Ollama - Nvidia
-[Ollama](https://github.com/ollama/ollama) allows you to run open-source large language models, such as Llama 3 & Mistral, locally. Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile.
-
----
-
 ## Nvidia Instructions
+
 To enable your Nvidia GPU in Docker:
+
 - You need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation)
 
 - And configure Docker to use Nvidia driver
+
 ```sh
 sudo nvidia-ctk runtime configure --runtime=docker
 sudo systemctl restart docker
 ```
+
 ---
 
 ## Usage
 
+⚠️ This app runs on port **11435**. Take this into account when configuring tools connecting to the app.
+
 ### Use with a frontend
+
 - [LobeChat](https://github.com/lobehub/lobe-chat)
 - [LibreChat](https://github.com/danny-avila/LibreChat)
 - [OpenWebUI](https://github.com/open-webui/open-webui)
@@ -25,9 +27,11 @@ sudo systemctl restart docker
 ---
 
 ### Try the REST API
+
 Ollama has a REST API for running and managing models.
 
 **Generate a response**
+
 ```sh
 curl http://localhost:11434/api/generate -d '{
   "model": "llama3",
@@ -36,6 +40,7 @@ curl http://localhost:11434/api/generate -d '{
 ```
 
 **Chat with a model**
+
 ```sh
 curl http://localhost:11434/api/chat -d '{
   "model": "llama3",
@@ -44,16 +49,11 @@ curl http://localhost:11434/api/chat -d '{
   ]
 }'
 ```
----
-
-### Try in terminal
-```sh
-docker exec -it ollama-nvidia ollama run llama3 --verbose
-```
 
 ---
 
 ## Compatible GPUs
+
 Ollama supports Nvidia GPUs with compute capability 5.0+.
 
 Check your compute compatibility to see if your card is supported:
@@ -82,10 +82,10 @@ Check your compute compatibility to see if your card is supported:
 | 5.0                | GeForce GTX         | `GTX 750 Ti` `GTX 750` `NVS 810`                                                                            |
 |                    | Quadro              | `K2200` `K1200` `K620` `M1200` `M520` `M5000M` `M4000M` `M3000M` `M2000M` `M1000M` `K620M` `M600M` `M500M`  |
 
-
 ---
 
 ## Model library
+
 Ollama supports a list of models available on [ollama.com/library](https://ollama.com/library 'ollama model library')
 
 Here are some example models that can be downloaded: