Instructions to use jpacifico/french-alpaca-instruct-Q4-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use jpacifico/french-alpaca-instruct-Q4-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="jpacifico/french-alpaca-instruct-Q4-GGUF",
	filename="french-alpaca-instruct-Q4.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 jpacifico/french-alpaca-instruct-Q4-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf jpacifico/french-alpaca-instruct-Q4-GGUF
# Run inference directly in the terminal:
llama-cli -hf jpacifico/french-alpaca-instruct-Q4-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf jpacifico/french-alpaca-instruct-Q4-GGUF
# Run inference directly in the terminal:
llama-cli -hf jpacifico/french-alpaca-instruct-Q4-GGUF

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 jpacifico/french-alpaca-instruct-Q4-GGUF
# Run inference directly in the terminal:
./llama-cli -hf jpacifico/french-alpaca-instruct-Q4-GGUF

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 jpacifico/french-alpaca-instruct-Q4-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf jpacifico/french-alpaca-instruct-Q4-GGUF

Use Docker

docker model run hf.co/jpacifico/french-alpaca-instruct-Q4-GGUF

LM Studio
Jan
Ollama
How to use jpacifico/french-alpaca-instruct-Q4-GGUF with Ollama:
```
ollama run hf.co/jpacifico/french-alpaca-instruct-Q4-GGUF
```

Unsloth Studio

How to use jpacifico/french-alpaca-instruct-Q4-GGUF 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 jpacifico/french-alpaca-instruct-Q4-GGUF 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 jpacifico/french-alpaca-instruct-Q4-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for jpacifico/french-alpaca-instruct-Q4-GGUF to start chatting

Docker Model Runner
How to use jpacifico/french-alpaca-instruct-Q4-GGUF with Docker Model Runner:
```
docker model run hf.co/jpacifico/french-alpaca-instruct-Q4-GGUF
```

Lemonade

How to use jpacifico/french-alpaca-instruct-Q4-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull jpacifico/french-alpaca-instruct-Q4-GGUF

Run and chat with the model

lemonade run user.french-alpaca-instruct-Q4-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

French-Alpaca-Instruct Q4

Quantized 4bits Q4_K_M version of jpacifico/French-Alpaca-7B-Instruct-beta

This quantized Q4_K_M GGUF (4bits) version of French-Alpaca-7B-Instruct-beta
can be used on a CPU device incl. Raspberry Pi 5 8gb, and is supported by LLM cpp tools (llama.cpp, Ollama, LM Studio ..)

Usage

Ollama Modelfile example :

FROM ./french-alpaca-instruct-Q4.gguf

TEMPLATE """Tu trouveras ci-dessous une instruction qui décrit une tâche. Rédige une réponse qui complète de manière appropriée la demande.


{{ if .System }}### Instruction:
{{ .System }}{{ end }}

{{ if .Prompt }}### Input:
{{ .Prompt }}{{ end }}

### Response:
"""

PARAMETER stop "### Response:"
PARAMETER stop "### Instruction:"
PARAMETER stop "### Input:"
PARAMETER stop "Tu trouveras ci-dessous une instruction qui décrit une tâche. Rédige une réponse qui complète de manière appropriée la demande."
PARAMETER num_predict 300

Limitations

The French-Alpaca model is a quick demonstration that a base 7B model can be easily fine-tuned to specialize in a particular language. It does not have any moderation mechanisms.

Developed by: Jonathan Pacifico, 2024
Model type: LLM
Language(s) (NLP): French
License: Apache-2.0

Downloads last month: 21

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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jpacifico
/

french-alpaca-instruct-Q4-GGUF

French-Alpaca-Instruct Q4

Usage

Limitations

Dataset used to train jpacifico/french-alpaca-instruct-Q4-GGUF

Space using jpacifico/french-alpaca-instruct-Q4-GGUF 1

Collection including jpacifico/french-alpaca-instruct-Q4-GGUF

French-Alpaca 🦙