Instructions to use Dabococo/OWAI_042csv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Dabococo/OWAI_042csv with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Dabococo/OWAI_042csv",
	filename="unsloth.F16.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Dabococo/OWAI_042csv with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Dabococo/OWAI_042csv:F16
# Run inference directly in the terminal:
llama-cli -hf Dabococo/OWAI_042csv:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Dabococo/OWAI_042csv:F16
# Run inference directly in the terminal:
llama-cli -hf Dabococo/OWAI_042csv:F16

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 Dabococo/OWAI_042csv:F16
# Run inference directly in the terminal:
./llama-cli -hf Dabococo/OWAI_042csv:F16

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 Dabococo/OWAI_042csv:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Dabococo/OWAI_042csv:F16

Use Docker

docker model run hf.co/Dabococo/OWAI_042csv:F16

LM Studio
Jan
Ollama
How to use Dabococo/OWAI_042csv with Ollama:
```
ollama run hf.co/Dabococo/OWAI_042csv:F16
```

Unsloth Studio new

How to use Dabococo/OWAI_042csv 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 Dabococo/OWAI_042csv 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 Dabococo/OWAI_042csv to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Dabococo/OWAI_042csv to start chatting

Docker Model Runner
How to use Dabococo/OWAI_042csv with Docker Model Runner:
```
docker model run hf.co/Dabococo/OWAI_042csv:F16
```

Lemonade

How to use Dabococo/OWAI_042csv with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Dabococo/OWAI_042csv:F16

Run and chat with the model

lemonade run user.OWAI_042csv-F16

List all available models

lemonade list

Model Details

FR: Ceci est un modèle d'expérimentation basé sur llama3. Le modèle final aura pour but d'aider les gens sur Minecraft et plus spécifiquement sur le serveur Minecraft OpenWar (openwar.fr).

EN: This is an experimental model based on llama3. The final template will aim to help people on Minecraft and more specifically on the Minecraft OpenWar server (openwar.fr).

Model Description

Developed by: [Dabococo]
Model type: [Conversation, Q&A]
Finetuned from model: [Llama 3 Meta]

Recommendations

Attendez une meilleure version du modèle.

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Downloads last month: 8

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

4-bit

16-bit

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Dabococo
/

OWAI_042csv

Model Details

Model Description

Recommendations

Dataset used to train Dabococo/OWAI_042csv