Instructions to use typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf",
	filename="llama-3-typhoon-v1.5-8b-instruct.Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_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 typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_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 typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M

Use Docker

docker model run hf.co/typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf with Ollama:
```
ollama run hf.co/typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M
```

Unsloth Studio

How to use typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-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 typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-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 typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf to start chatting

Docker Model Runner
How to use typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf with Docker Model Runner:
```
docker model run hf.co/typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M
```

Lemonade

How to use typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf:Q4_K_M

Run and chat with the model

lemonade run user.llama-3-typhoon-v1.5-8b-instruct-gguf-Q4_K_M

List all available models

lemonade list

Llama-3-Typhoon-1.5-8B: Thai Large Language Model (Instruct) - GGUF

Llama-3-Typhoon-1.5-8B-instruct is a instruct Thai 🇹🇭 large language model with 8 billion parameters, and it is based on Llama3-8B.

Here is gguf converted of Typhoon-1.5-8b-instruct.

Chat Template

We use llama3 chat-template for LM Studio.

{
  "name": "Llama 3",
  "inference_params": {
    "input_prefix": "<|start_header_id|>user<|end_header_id|>\n\n",
    "input_suffix": "<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
    "pre_prompt": "You are a helpful assistant who're always speak Thai.",
    "pre_prompt_prefix": "<|start_header_id|>system<|end_header_id|>\n\n",
    "pre_prompt_suffix": "<|eot_id|>",
    "antiprompt": [
      "<|start_header_id|>", "<|eot_id|>"
    ]
  }
}

Intended Uses & Limitations

This model is an instructional model. However, it’s still undergoing development. It incorporates some level of guardrails, but it still may produce answers that are inaccurate, biased, or otherwise objectionable in response to user prompts. We recommend that developers assess these risks in the context of their use case.

https://twitter.com/opentyphoon

Support

https://discord.gg/us5gAYmrxw

SCB10X AI Team

Kunat Pipatanakul, Potsawee Manakul, Sittipong Sripaisarnmongkol, Natapong Nitarach, Pathomporn Chokchainant, Kasima Tharnpipitchai
If you find Typhoon-8B useful for your work, please cite it using:

@article{pipatanakul2023typhoon,
    title={Typhoon: Thai Large Language Models}, 
    author={Kunat Pipatanakul and Phatrasek Jirabovonvisut and Potsawee Manakul and Sittipong Sripaisarnmongkol and Ruangsak Patomwong and Pathomporn Chokchainant and Kasima Tharnpipitchai},
    year={2023},
    journal={arXiv preprint arXiv:2312.13951},
    url={https://arxiv.org/abs/2312.13951}
}

Contact Us

General & Collaboration: kasima@scb10x.com, pathomporn@scb10x.com
Technical: kunat@scb10x.com

Downloads last month: 185

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

4-bit

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Collection including typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf

Typhoon 1.5

Collection

06-2024 Text ThaiLLM release developed by SCB 10X. • 6 items • Updated Jan 28

Paper for typhoon-ai/llama-3-typhoon-v1.5-8b-instruct-gguf

Typhoon: Thai Large Language Models

Paper • 2312.13951 • Published Dec 21, 2023 • 7

typhoon-ai
/

llama-3-typhoon-v1.5-8b-instruct-gguf