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

Libraries

How to use NoQuest/LLmSave with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="NoQuest/LLmSave",
	filename="LLamandementFineTuneSansNotation16Q.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 NoQuest/LLmSave with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NoQuest/LLmSave:Q8_0
# Run inference directly in the terminal:
llama cli -hf NoQuest/LLmSave:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NoQuest/LLmSave:Q8_0
# Run inference directly in the terminal:
llama cli -hf NoQuest/LLmSave:Q8_0

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 NoQuest/LLmSave:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf NoQuest/LLmSave:Q8_0

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 NoQuest/LLmSave:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NoQuest/LLmSave:Q8_0

Use Docker

docker model run hf.co/NoQuest/LLmSave:Q8_0

LM Studio
Jan
Ollama
How to use NoQuest/LLmSave with Ollama:
```
ollama run hf.co/NoQuest/LLmSave:Q8_0
```

Unsloth Studio

How to use NoQuest/LLmSave 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 NoQuest/LLmSave 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 NoQuest/LLmSave to start chatting

Using HuggingFace Spaces for Unsloth

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

Atomic Chat new
Docker Model Runner
How to use NoQuest/LLmSave with Docker Model Runner:
```
docker model run hf.co/NoQuest/LLmSave:Q8_0
```

Lemonade

How to use NoQuest/LLmSave with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NoQuest/LLmSave:Q8_0

Run and chat with the model

lemonade run user.LLmSave-Q8_0

List all available models

lemonade list

LLmSave / nvidia /Dockerfile

NoQuest

Upload nvidia/Dockerfile with huggingface_hub

b124aeb verified almost 2 years ago

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	# BUILDER
	FROM ubuntu:22.04
	WORKDIR /builder
	ARG TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX}"
	ARG BUILD_EXTENSIONS="${BUILD_EXTENSIONS:-}"
	ARG APP_UID="${APP_UID:-6972}"
	ARG APP_GID="${APP_GID:-6972}"

	RUN --mount=type=cache,target=/var/cache/apt,sharing=locked,rw \
	apt update && \
	apt install --no-install-recommends -y git vim build-essential python3-dev pip bash curl bash-completion && \
	rm -rf /var/lib/apt/lists/*
	WORKDIR /home/app/
	RUN git clone https://github.com/oobabooga/text-generation-webui.git
	WORKDIR /home/app/text-generation-webui
	RUN GPU_CHOICE=A USE_CUDA118=FALSE LAUNCH_AFTER_INSTALL=FALSE INSTALL_EXTENSIONS=TRUE ./start_linux.sh --verbose
	COPY CMD_FLAGS.txt /home/app/text-generation-webui/
	EXPOSE ${CONTAINER_PORT:-7860} ${CONTAINER_API_PORT:-5000} ${CONTAINER_API_STREAM_PORT:-5005}
	WORKDIR /home/app/text-generation-webui
	# set umask to ensure group read / write at runtime
	CMD umask 0002 && export HOME=/home/app/text-generation-webui && ./start_linux.sh --listen --model /Users/computer/git/text-generation-webui/models/LLamandementFineTunéWithoutNotation16Q.gguf --loader llama.cpp --verbose