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

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use xavuye/xavuye_model 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 xavuye/xavuye_model:Q8_0
# Run inference directly in the terminal:
llama cli -hf xavuye/xavuye_model:Q8_0

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/xavuye/xavuye_model:Q8_0

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

Unsloth Studio

How to use xavuye/xavuye_model 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 xavuye/xavuye_model 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 xavuye/xavuye_model to start chatting

Using HuggingFace Spaces for Unsloth

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

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

Lemonade

How to use xavuye/xavuye_model with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull xavuye/xavuye_model:Q8_0

Run and chat with the model

lemonade run user.xavuye_model-Q8_0

List all available models

lemonade list

xavuye_model / README.md

xavuye

Update README.md

79a9685 verified about 1 month ago

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	---
	license: apache-2.0
	---

	## Model Details

	TEMPLATE:

	<\|system\|>
	{system_message}
	<\|user\|>
	{prompt}
	<\|assistant\|>



	SPECIAL_TOKENS = {
	"pad": "<\|pad\|>",
	"unk": "<\|unk\|>",
	"bos": "<\|bos\|>",
	"eos": "<\|eos\|>",
	"system": "<\|system\|>",
	"user": "<\|user\|>",
	"assistant": "<\|assistant\|>",
	"end": "<\|end\|>",
	"think": "<\|think\|>",
	"think_end": "<\|think_end\|>",
	"learn": "<\|learn\|>",
	}

	---
	license: apache-2.0
	---

	## Model Details

	TEMPLATE:

	<\|system\|>
	{system_message}
	<\|user\|>
	{prompt}
	<\|assistant\|>



	SPECIAL_TOKENS = {
	"pad": "<\|pad\|>",
	"unk": "<\|unk\|>",
	"bos": "<\|bos\|>",
	"eos": "<\|eos\|>",
	"system": "<\|system\|>",
	"user": "<\|user\|>",
	"assistant": "<\|assistant\|>",
	"end": "<\|end\|>",
	"think": "<\|think\|>",
	"think_end": "<\|think_end\|>",
	"learn": "<\|learn\|>",
	}