Instructions to use jinwoo1126/Midm2.0-Base-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use jinwoo1126/Midm2.0-Base-Instruct-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="jinwoo1126/Midm2.0-Base-Instruct-GGUF", filename="Midm-2.0-Base-Instruct-f16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use jinwoo1126/Midm2.0-Base-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 jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16 # Run inference directly in the terminal: llama-cli -hf jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16 # Run inference directly in the terminal: llama-cli -hf jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
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 jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
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 jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
Use Docker
docker model run hf.co/jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
- LM Studio
- Jan
- vLLM
How to use jinwoo1126/Midm2.0-Base-Instruct-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jinwoo1126/Midm2.0-Base-Instruct-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": "jinwoo1126/Midm2.0-Base-Instruct-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
- Ollama
How to use jinwoo1126/Midm2.0-Base-Instruct-GGUF with Ollama:
ollama run hf.co/jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
- Unsloth Studio new
How to use jinwoo1126/Midm2.0-Base-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 jinwoo1126/Midm2.0-Base-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 jinwoo1126/Midm2.0-Base-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 jinwoo1126/Midm2.0-Base-Instruct-GGUF to start chatting
- Pi new
How to use jinwoo1126/Midm2.0-Base-Instruct-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
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": "jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use jinwoo1126/Midm2.0-Base-Instruct-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
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 jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
Run Hermes
hermes
- Docker Model Runner
How to use jinwoo1126/Midm2.0-Base-Instruct-GGUF with Docker Model Runner:
docker model run hf.co/jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
- Lemonade
How to use jinwoo1126/Midm2.0-Base-Instruct-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull jinwoo1126/Midm2.0-Base-Instruct-GGUF:F16
Run and chat with the model
lemonade run user.Midm2.0-Base-Instruct-GGUF-F16
List all available models
lemonade list
| FROM ./Midm-2.0-Base-Instruct-f16.gguf | |
| TEMPLATE """<|begin_of_text|><|start_header_id|>system<|end_header_id|> | |
| Mi:dm(λ―Ώ:μ)μ KTμμ κ°λ°ν AI κΈ°λ° μ΄μμ€ν΄νΈμ΄λ€. λλ Mi:dmμΌλ‘μ μ¬μ©μμκ² μ μ©νκ³ μμ ν μλ΅μ μ 곡ν΄μΌ νλ€. | |
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| <tool_call>{"name": "tool_name", "arguments": {"param":"value"}}</tool_call> | |
| tool_list:[ | |
| {{- range $i, $tool := .Tools -}} | |
| {{- if ne 0 $i }},{{- end -}} | |
| {{- $tool -}} | |
| {{- end -}} | |
| ] | |
| {{- end -}} | |
| {{- if .System -}} | |
| {{- .System }} | |
| {{- end -}} | |
| {{- range $i, $_ := .Messages -}} | |
| {{- $last := eq (len (slice $.Messages $i)) 1 -}} | |
| {{- if ne .Role "system" -}} | |
| <|eot_id|><|start_header_id|> | |
| {{- .Role -}} | |
| <|end_header_id|> | |
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| {{- else if .ToolCalls -}} | |
| <tool_call> | |
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| {{- end }} | |
| </tool_call> | |
| {{- end -}} | |
| {{- if $last -}} | |
| <|eot_id|><|start_header_id|>assistant<|end_header_id|> | |
| {{ end -}} | |
| {{- end -}} | |
| {{- end -}}""" | |
| PARAMETER stop "<|eot_id|>" | |
| PARAMETER stop "<|end_of_text|>" | |
| LICENSE """MIT License | |
| Copyright (c) 2025 KT Corporation | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: | |
| The above copyright notice and this permission notice shall be included in all | |
| copies or substantial portions of the Software. | |
| THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
| SOFTWARE.""" |