Instructions to use TobDeBer/myContainers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TobDeBer/myContainers with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="TobDeBer/myContainers",
	filename="arco_BE8.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use TobDeBer/myContainers with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf TobDeBer/myContainers
# Run inference directly in the terminal:
llama-cli -hf TobDeBer/myContainers

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf TobDeBer/myContainers
# Run inference directly in the terminal:
llama-cli -hf TobDeBer/myContainers

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf TobDeBer/myContainers
# Run inference directly in the terminal:
./llama-cli -hf TobDeBer/myContainers

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf TobDeBer/myContainers
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TobDeBer/myContainers

Use Docker

docker model run hf.co/TobDeBer/myContainers

LM Studio
Jan
Ollama
How to use TobDeBer/myContainers with Ollama:
```
ollama run hf.co/TobDeBer/myContainers
```

Unsloth Studio

How to use TobDeBer/myContainers with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for TobDeBer/myContainers to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for TobDeBer/myContainers to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for TobDeBer/myContainers to start chatting

Docker Model Runner
How to use TobDeBer/myContainers with Docker Model Runner:
```
docker model run hf.co/TobDeBer/myContainers
```

Lemonade

How to use TobDeBer/myContainers with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TobDeBer/myContainers

Run and chat with the model

lemonade run user.myContainers-{{QUANT_TAG}}

List all available models

lemonade list

Tob De Ber commited on Sep 4, 2024

Commit

a796f0d

1 Parent(s): c3d6e83

add libraries to slim container

Browse files

Files changed (2) hide show

build_slim.sh +2 -0
slim/Dockerfile +2 -1

build_slim.sh CHANGED Viewed

@@ -1,7 +1,9 @@
 cp llama-server slim/
 podman build --squash-all --tag bookworm:server slim
 podman image prune -f
 podman save localhost/bookworm:server >server.tar
 time xz -6 -T0 server.tar
 rm slim/llama-server

 cp llama-server slim/
+cp /lib/x86_64-linux-gnu/libgomp.so.1 slim/
 podman build --squash-all --tag bookworm:server slim
 podman image prune -f
 podman save localhost/bookworm:server >server.tar
 time xz -6 -T0 server.tar
 rm slim/llama-server
+rm slim/libgomp.so.1

slim/Dockerfile CHANGED Viewed

@@ -7,6 +7,7 @@ FROM debian:bookworm-slim
 #RUN cp llama.cpp/llama-server .
 #RUN rm -rf llama.cpp/
-COPY ../llama-server .
 CMD ["sleep", " infinity"]

 #RUN cp llama.cpp/llama-server .
 #RUN rm -rf llama.cpp/
+COPY llama-server .
+COPY libgomp.so.1 /lib/x86_64-linux-gnu/libgomp.so.1
 CMD ["sleep", " infinity"]