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Build images without model

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This commit is contained in:
mudler 2023-03-23 18:50:43 +01:00
parent d98d1fe55e
commit bffaf2aa42
2 changed files with 18 additions and 17 deletions
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11
Earthfile
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@ -34,5 +34,14 @@ image:
ENTRYPOINT [ "/llama-cli" ]
SAVE IMAGE --push $IMAGE
lite-image:
FROM +go-deps
ARG IMAGE=alpaca-cli-nomodel
COPY +build/llama-cli /llama-cli
ENV MODEL_PATH=/model.bin
ENTRYPOINT [ "/llama-cli" ]
SAVE IMAGE --push $IMAGE-lite
image-all:
BUILD --platform=linux/amd64 --platform=linux/arm64 +image
BUILD --platform=linux/amd64 --platform=linux/arm64 +image
BUILD --platform=linux/amd64 --platform=linux/arm64 +lite-image

24
README.md
View File

@ -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 7B](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:v0.1 --instruction "What's an alpaca?" --topk 10000
docker run -ti --rm quay.io/go-skynet/llama-cli:v0.2 --instruction "What's an alpaca?" --topk 10000
```
You will receive a response like the following:
@ -53,7 +53,7 @@ This will generate text based on the given model and instruction.
Example of starting the API with `docker`:
```bash
docker run -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.1 api
docker run -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.2 api
```
And you'll see:
@ -102,29 +102,21 @@ curl --location --request POST 'http://localhost:8080/predict' --header 'Content
### 13B
```
wget -O tokenizer.model https://huggingface.co/decapoda-research/llama-30b-hf/resolve/main/tokenizer.model
mkdir models
wget -O models/gml-model-13B-q4_0.bin https://huggingface.co/Pi3141/alpaca-13B-ggml/resolve/main/ggml-model-q4_0.bin
git clone https://gist.github.com/eiz/828bddec6162a023114ce19146cb2b82
python 828bddec6162a023114ce19146cb2b82/gistfile1.txt models tokenizer.models
mv models/gml-model-13B-q4_0.bin.tmp models/gml-model-13B-q4_0.bin
docker run --name model --entrypoint /models quay.io/go-skynet/models:ggml2-alpaca-13b-v0.2
docker cp model:/models/model.bin ./
# Use the model with llama-cli
docker run -v $PWD/models:/models -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:master api --model /models/gml-model-13B-q4_0.bin
docker run -v $PWD:/models -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.2 api --model /models/model.bin
```
### 30B
```
wget -O tokenizer.model https://huggingface.co/decapoda-research/llama-30b-hf/resolve/main/tokenizer.model
mkdir models
wget -O models/ggml-model-30B-q4_0.bin https://huggingface.co/Pi3141/alpaca-30B-ggml/blob/main/ggml-model-q4_0.bin
git clone https://gist.github.com/eiz/828bddec6162a023114ce19146cb2b82
python 828bddec6162a023114ce19146cb2b82/gistfile1.txt models tokenizer.models
mv models/ggml-model-30B-q4_0.bin.tmp models/ggml-model-30B-q4_0.bin
docker run --name model --entrypoint /models quay.io/go-skynet/models:ggml2-alpaca-30b-v0.2
docker cp model:/models/model.bin ./
# Use the model with llama-cli
docker run -v $PWD/models:/models -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:master api --model /models/ggml-model-30B-q4_0.bin
docker run -v $PWD:/models -p 8080:8080 -ti --rm quay.io/go-skynet/llama-cli:v0.2 api --model /models/model.bin
```
### Golang client API