Instructions to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound 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 Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S
# Run inference directly in the terminal:
llama cli -hf Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S
# Run inference directly in the terminal:
llama cli -hf Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

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 Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S
# Run inference directly in the terminal:
./llama-cli -hf Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

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 Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

Use Docker

docker model run hf.co/Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

LM Studio
Jan

vLLM

How to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

Ollama
How to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound with Ollama:
```
ollama run hf.co/Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S
```

Unsloth Studio

How to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound 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 Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound 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 Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound to start chatting

How to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

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 Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

Run Hermes

hermes

OpenClaw new

How to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

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 "Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S" \
  --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"

Docker Model Runner
How to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound with Docker Model Runner:
```
docker model run hf.co/Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S
```

Lemonade

How to use Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Intel/MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound:Q2_K_S

Run and chat with the model

lemonade run user.MiroThinker-v1.5-30B-gguf-q2ks-mixed-AutoRound-Q2_K_S

List all available models

lemonade list

Atomic Chat

Correct metadata, add library name, and link SignRoundV2 paper

by nielsr HF Staff - opened May 20

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+17

-130

nielsr

May 20

Hi, I'm Niels from the Hugging Face community science team.

I've opened this PR to improve the model card's metadata and documentation:

Corrected the base_model to miromind-ai/MiroThinker-v1.5-30B (it was previously pointing to a Cerebras model).
Added library_name: auto-round and pipeline_tag: text-generation for better discoverability.
Added the Apache 2.0 license.
Formally linked the model to the SignRoundV2 paper.
Cleaned up the Markdown structure for better readability.

These changes help users find the model and understand the underlying quantization research.

Correct metadata, add library name, and link SignRoundV2 paper3aca7092

wenhuach changed pull request status to merged May 22

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