Instructions to use gaianet/Llama3-8B-Chinese-Chat-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use gaianet/Llama3-8B-Chinese-Chat-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="gaianet/Llama3-8B-Chinese-Chat-GGUF",
	filename="Llama3-8B-Chinese-Chat-Q5_K_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use gaianet/Llama3-8B-Chinese-Chat-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M

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 gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M

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 gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M

Use Docker

docker model run hf.co/gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M

LM Studio
Jan

vLLM

How to use gaianet/Llama3-8B-Chinese-Chat-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "gaianet/Llama3-8B-Chinese-Chat-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "gaianet/Llama3-8B-Chinese-Chat-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M

Ollama
How to use gaianet/Llama3-8B-Chinese-Chat-GGUF with Ollama:
```
ollama run hf.co/gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M
```

Unsloth Studio

How to use gaianet/Llama3-8B-Chinese-Chat-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 gaianet/Llama3-8B-Chinese-Chat-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 gaianet/Llama3-8B-Chinese-Chat-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for gaianet/Llama3-8B-Chinese-Chat-GGUF to start chatting

Docker Model Runner
How to use gaianet/Llama3-8B-Chinese-Chat-GGUF with Docker Model Runner:
```
docker model run hf.co/gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M
```

Lemonade

How to use gaianet/Llama3-8B-Chinese-Chat-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull gaianet/Llama3-8B-Chinese-Chat-GGUF:Q5_K_M

Run and chat with the model

lemonade run user.Llama3-8B-Chinese-Chat-GGUF-Q5_K_M

List all available models

lemonade list

alabulei commited on May 30, 2024

Commit

b9edced

verified ·

1 Parent(s): 9f3be6f

Update README.md

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README.md +40 -3

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@@ -1,3 +1,40 @@
----
-license: apache-2.0
----

+---
+license: other
+license_name: llama3
+base_model: shenzhi-wang/Llama3-8B-Chinese-Chat
+inference: false
+model_creator: shenzhi-wang
+model_type: llama
+pipeline_tag: text-generation
+quantized_by: Second State Inc.
+language:
+- en
+- zh
+tags:
+- llama-factory
+- orpo
+---
+![](https://github.com/GaiaNet-AI/.github/assets/45785633/d6976adc-f97d-4f86-a648-0f2f5c8e7eee)
+# Llama3-8B-Chinese-Chat-GGUF
+## Original Model
+[shenzhi-wang/Llama3-8B-Chinese-Chat](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat)
+## Run with Gaianet
+**Prompt template**
+prompt template: `llama-3-chat`
+**Context size**
+chat_ctx_size: `4096`
+**Run with GaiaNet**
+- Quick start: https://docs.gaianet.ai/node-guide/quick-start
+- Customize your node: https://docs.gaianet.ai/node-guide/customize