Merge pull request #951 from ollama/mxyng/example-fly

fly example
This commit is contained in:
Michael Yang 2024-05-07 10:46:24 -07:00 committed by GitHub
commit d7d33e5255
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
2 changed files with 68 additions and 0 deletions

1
examples/flyio/.gitignore vendored Normal file
View file

@ -0,0 +1 @@
fly.toml

67
examples/flyio/README.md Normal file
View file

@ -0,0 +1,67 @@
# Deploy Ollama to Fly.io
> Note: this example exposes a public endpoint and does not configure authentication. Use with care.
## Prerequisites
- Ollama: https://ollama.com/download
- Fly.io account. Sign up for a free account: https://fly.io/app/sign-up
## Steps
1. Login to Fly.io
```bash
fly auth login
```
1. Create a new Fly app
```bash
fly launch --name <name> --image ollama/ollama --internal-port 11434 --vm-size shared-cpu-8x --now
```
1. Pull and run `orca-mini:3b`
```bash
OLLAMA_HOST=https://<name>.fly.dev ollama run orca-mini:3b
```
`shared-cpu-8x` is a free-tier eligible machine type. For better performance, switch to a `performance` or `dedicated` machine type or attach a GPU for hardware acceleration (see below).
## (Optional) Persistent Volume
By default Fly Machines use ephemeral storage which is problematic if you want to use the same model across restarts without pulling it again. Create and attach a persistent volume to store the downloaded models:
1. Create the Fly Volume
```bash
fly volume create ollama
```
1. Update `fly.toml` and add `[mounts]`
```toml
[mounts]
source = "ollama"
destination = "/mnt/ollama/models"
```
1. Update `fly.toml` and add `[env]`
```toml
[env]
OLLAMA_MODELS = "/mnt/ollama/models"
```
1. Deploy your app
```bash
fly deploy
```
## (Optional) Hardware Acceleration
Fly.io GPU is currently in waitlist. Sign up for the waitlist: https://fly.io/gpu
Once you've been accepted, create the app with the additional flags `--vm-gpu-kind a100-pcie-40gb` or `--vm-gpu-kind a100-pcie-80gb`.