Instructions to use unsloth/Kimi-K2-Thinking-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unsloth/Kimi-K2-Thinking-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("unsloth/Kimi-K2-Thinking-GGUF", dtype="auto")

llama-cpp-python

How to use unsloth/Kimi-K2-Thinking-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="unsloth/Kimi-K2-Thinking-GGUF",
	filename="BF16/Kimi-K2-Thinking-BF16-00001-of-00046.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use unsloth/Kimi-K2-Thinking-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama-cli -hf unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama-cli -hf unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL

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 unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./llama-cli -hf unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL

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 unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL

Use Docker

docker model run hf.co/unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL

LM Studio
Jan
Ollama
How to use unsloth/Kimi-K2-Thinking-GGUF with Ollama:
```
ollama run hf.co/unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL
```

Unsloth Studio new

How to use unsloth/Kimi-K2-Thinking-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 unsloth/Kimi-K2-Thinking-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 unsloth/Kimi-K2-Thinking-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for unsloth/Kimi-K2-Thinking-GGUF to start chatting

Pi new

How to use unsloth/Kimi-K2-Thinking-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL

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": "unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use unsloth/Kimi-K2-Thinking-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 unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL

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 unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL

Run Hermes

hermes

Docker Model Runner
How to use unsloth/Kimi-K2-Thinking-GGUF with Docker Model Runner:
```
docker model run hf.co/unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL
```

Lemonade

How to use unsloth/Kimi-K2-Thinking-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull unsloth/Kimi-K2-Thinking-GGUF:UD-Q4_K_XL

Run and chat with the model

lemonade run user.Kimi-K2-Thinking-GGUF-UD-Q4_K_XL

List all available models

lemonade list

danielhanchen commited on Nov 9, 2025

Commit

d8bfc52

verified ·

1 Parent(s): a13918a

Upload folder using huggingface_hub

Browse files

Files changed (16) hide show

Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00001-of-00016.gguf +2 -2
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00002-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00003-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00004-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00005-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00006-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00007-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00008-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00009-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00010-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00011-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00012-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00013-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00014-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00015-of-00016.gguf +1 -1
Q5_K_M/Kimi-K2-Thinking-Q5_K_M-00016-of-00016.gguf +1 -1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f74b7b93fc1855f555ae4d9064470579dcdfce1c5a9d80ddbeac1e4c42cf89f4
-size 48241329472

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e14eb7c7b9cb3ffe75bfbd9510af9088b8a20bb115660a9c07f720546b0b5f5a
 size 48489491072

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d86e236c96f701e8c4b10fbce19847e5e38803ade45e36d5a92f90360f181df8
 size 48489491104

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:28cb9a1617787d7eaa2582982ac4e32db00ce12d7f350ff7813c63a46d313fdc
 size 47740807872

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5ffae619cccdce2b3cf09f6724fb77116f9ed3cfb5d4062a48ce631902701a05
 size 47740807872

 version https://git-lfs.github.com/spec/v1
+oid sha256:5dd07da2dc749f15ff963feb13d29c90e16b812c79b161bf3bd11971bfb47e5d
+size 48241329920

 version https://git-lfs.github.com/spec/v1
+oid sha256:087a0eafb33826f1db8549f7cb2532d51d7dfb023b9279685f4070d587159412
 size 48489491136

 version https://git-lfs.github.com/spec/v1
+oid sha256:e1296cc7ec634dd1926481ea7f5510fddcda7bc9c4bb92117ecfd3e0ed4a59ce
 size 49986857664

 version https://git-lfs.github.com/spec/v1
+oid sha256:670794d04f37672bb6f665108418e7b302543fabbe5c7ad324efe17a6172e171
 size 3887579392