Feature Extraction
Transformers
GGUF
Safetensors
qwen3
dflash
speculative-decoding
diffusion
efficiency
flash-decoding
qwen
kimi
diffusion-language-model
text-generation
custom_code
text-generation-inference
Instructions to use Anbeeld/Kimi-K2.5-DFlash-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anbeeld/Kimi-K2.5-DFlash-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Anbeeld/Kimi-K2.5-DFlash-GGUF", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anbeeld/Kimi-K2.5-DFlash-GGUF", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Anbeeld/Kimi-K2.5-DFlash-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 Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf Anbeeld/Kimi-K2.5-DFlash-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 Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf Anbeeld/Kimi-K2.5-DFlash-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 Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
Use Docker
docker model run hf.co/Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
- LM Studio
- Jan
- Ollama
How to use Anbeeld/Kimi-K2.5-DFlash-GGUF with Ollama:
ollama run hf.co/Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
- Unsloth Desktop
- Docker Model Runner
How to use Anbeeld/Kimi-K2.5-DFlash-GGUF with Docker Model Runner:
docker model run hf.co/Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
- Lemonade
How to use Anbeeld/Kimi-K2.5-DFlash-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Anbeeld/Kimi-K2.5-DFlash-GGUF:Q2_K
Run and chat with the model
lemonade run user.Kimi-K2.5-DFlash-GGUF-Q2_K
List all available models
lemonade list
- Atomic Chat
Ctrl+K