Instructions to use sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf 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 sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M

Use Docker

docker model run hf.co/sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf with Ollama:
```
ollama run hf.co/sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M
```
Unsloth Desktop

How to use sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf with Docker Model Runner:
```
docker model run hf.co/sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M
```

Lemonade

How to use sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M

Run and chat with the model

lemonade run user.openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview - GGUF

About

This repository contains GGUF weights for openthaigpt/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview.

For a convenient overview and download list, visit our model page.

Usage

If you are unsure how to use GGUF files, refer to the llama.cpp documentation for more details.

Llama.cpp CLI

./llama-cli -m openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-q4_k_m.gguf -p "Hello!"

Provided Quants

(sorted by size, not necessarily quality)

Link	Type	Size/GB	Notes
GGUF	q2_k	3.06	very low quality, for testing
GGUF	q3_k_m	3.84
GGUF	q4_0	4.45
GGUF	q4_k_m	4.68	recommended, good balance

Thanks

Special thanks to the llama.cpp team for their amazing work.

Downloads last month: 107

GGUF

Model size

8B params

Architecture

qwen3

Hardware compatibility

2-bit

3-bit

4-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf

Base model

Qwen/Qwen3-8B-Base

Finetuned

Qwen/Qwen3-8B

Finetuned

openthaigpt/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview

Quantized

(1)

this model

Collection including sthaps/openthaigpt-thaillm-8b-instruct-v0.7.2-research-preview-gguf

Quantized

Collection

A collection of quantized model I found. • 9 items • Updated Jan 23