Instructions to use DevQuasar/moonshotai.Kimi-K3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use DevQuasar/moonshotai.Kimi-K3-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 DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K

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 DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K

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 DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K

Use Docker

docker model run hf.co/DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K

LM Studio
Jan

vLLM

How to use DevQuasar/moonshotai.Kimi-K3-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DevQuasar/moonshotai.Kimi-K3-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DevQuasar/moonshotai.Kimi-K3-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K

Ollama
How to use DevQuasar/moonshotai.Kimi-K3-GGUF with Ollama:
```
ollama run hf.co/DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K
```

Unsloth Studio

How to use DevQuasar/moonshotai.Kimi-K3-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 DevQuasar/moonshotai.Kimi-K3-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 DevQuasar/moonshotai.Kimi-K3-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for DevQuasar/moonshotai.Kimi-K3-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use DevQuasar/moonshotai.Kimi-K3-GGUF with Docker Model Runner:
```
docker model run hf.co/DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K
```

Lemonade

How to use DevQuasar/moonshotai.Kimi-K3-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DevQuasar/moonshotai.Kimi-K3-GGUF:Q2_K

Run and chat with the model

lemonade run user.moonshotai.Kimi-K3-GGUF-Q2_K

List all available models

lemonade list

'Make knowledge free for everyone'

Experimental!

at this point i'm not suggeting this to be used for anyting else than test!

Based on https://github.com/ggml-org/llama.cpp/pull/26185

Q2_K | text-only | 962200.03 MiB (2.90 BPW)

Zeroshot demo with Q3_K_M Prompt: "write a html based realistic (graphics and physiscs and behavior) simulattion of flies in a jar"

html file

Quantized version of: moonshotai/Kimi-K3

Downloads last month: 391

GGUF

Model size

2.8T params

Architecture

kimi-k3

Hardware compatibility

2-bit

3-bit

Model tree for DevQuasar/moonshotai.Kimi-K3-GGUF

Base model

moonshotai/Kimi-K3

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