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Update README to use tagged container images

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mudler 2023-03-21 18:45:59 +01:00
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@ -8,7 +8,7 @@ llama-cli is a straightforward golang CLI interface for [llama.cpp](https://gith
The `llama-cli` [container images](https://quay.io/repository/go-skynet/llama-cli?tab=tags&tag=latest) come preloaded with the [alpaca.cpp](https://github.com/antimatter15/alpaca.cpp) model, enabling you to start making predictions immediately! To begin, run:
```
docker run -ti --rm quay.io/go-skynet/llama-cli:latest --instruction "What's an alpaca?" --topk 10000
docker run -ti --rm quay.io/go-skynet/llama-cli:v0.1 --instruction "What's an alpaca?" --topk 10000
```
You will receive a response like the following:
@ -19,7 +19,7 @@ An alpaca is a member of the South American Camelid family, which includes the l
## Basic usage
To use llama-cli, specify a pre-trained GPT-based model, an input text, and an instruction for text generation. llama-cli takes the following arguments:
To use llama-cli, specify a pre-trained GPT-based model, an input text, and an instruction for text generation. llama-cli takes the following arguments when running from the CLI:
```
llama-cli --model <model_path> --instruction <instruction> [--input <input>] [--template <template_path>] [--tokens <num_tokens>] [--threads <num_threads>] [--temperature <temperature>] [--topp <top_p>] [--topk <top_k>]
@ -48,13 +48,33 @@ This will generate text based on the given model and instruction.
## Advanced usage
`llama-cli` also provides an API for running text generation as a service. You can start the API server using the following command:
`llama-cli` also provides an API for running text generation as a service.
Example of starting the API with `docker`:
```bash
docker run -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.1 api
```
And you'll see:
```
┌───────────────────────────────────────────────────┐
│ Fiber v2.42.0 │
│ http://127.0.0.1:8080 │
│ (bound on host 0.0.0.0 and port 8080) │
│ │
│ Handlers ............. 1 Processes ........... 1 │
│ Prefork ....... Disabled PID ................. 1 │
└───────────────────────────────────────────────────┘
```
You can control the API server options with command line arguments:
```
llama-cli api --model <model_path> [--address <address>] [--threads <num_threads>]
```
The API takes takes the following arguments:
The API takes takes the following:
| Parameter | Environment Variable | Default Value | Description |
| ------------ | -------------------- | ------------- | -------------------------------------- |
@ -75,24 +95,6 @@ curl --location --request POST 'http://localhost:8080/predict' --header 'Content
}'
```
Example of starting the API with `docker`:
```bash
docker run -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:latest api
```
And you'll see:
```
┌───────────────────────────────────────────────────┐
│ Fiber v2.42.0 │
│ http://127.0.0.1:8080 │
│ (bound on host 0.0.0.0 and port 8080) │
│ │
│ Handlers ............. 1 Processes ........... 1 │
│ Prefork ....... Disabled PID ................. 1 │
└───────────────────────────────────────────────────┘
```
### Golang client API
The `llama-cli` codebase has also a small client in go that can be used alongside with the api: