Instructions to use jkim96/phi-4-DASHQ-Q2-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 jkim96/phi-4-DASHQ-Q2-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 jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M
# Run inference directly in the terminal:
llama cli -hf jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M
# Run inference directly in the terminal:
llama cli -hf jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M

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 jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M
# Run inference directly in the terminal:
./llama-cli -hf jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M

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 jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M

Use Docker

docker model run hf.co/jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M

LM Studio
Jan

vLLM

How to use jkim96/phi-4-DASHQ-Q2-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "jkim96/phi-4-DASHQ-Q2-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": "jkim96/phi-4-DASHQ-Q2-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M

Ollama
How to use jkim96/phi-4-DASHQ-Q2-GGUF with Ollama:
```
ollama run hf.co/jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M
```
Unsloth Desktop
Docker Model Runner
How to use jkim96/phi-4-DASHQ-Q2-GGUF with Docker Model Runner:
```
docker model run hf.co/jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M
```

Lemonade

How to use jkim96/phi-4-DASHQ-Q2-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull jkim96/phi-4-DASHQ-Q2-GGUF:IQ2_M

Run and chat with the model

lemonade run user.phi-4-DASHQ-Q2-GGUF-IQ2_M

List all available models

lemonade list

Atomic Chat

phi-4 - DASH-Q 2-bit GGUF

llama.cpp GGUF files of microsoft/phi-4 quantized with DASH-Q, at several 2-bit-class sizes. Every file uses only standard llama.cpp tensor types (no tensor above 4 bits) and loads in any recent llama.cpp build.

File	Type	Size	Bits / weight
`phi-4-DASHQ-IQ2_XXS.gguf`	IQ2_XXS	4.66 GB	2.54
`phi-4-DASHQ-IQ2_XS.gguf`	IQ2_XS	5.18 GB	2.83
`phi-4-DASHQ-IQ2_M.gguf`	IQ2_M	5.61 GB	3.07
`phi-4-DASHQ-Q2_K_XL.gguf`	Q2_K_XL	6.06 GB	3.31

Perplexity (lower is better)

Type	Model	Size	WikiText-2	C4
	F16	29.3 GB	5.78	11.27
IQ2_XXS	llama.cpp IQ2_XXS (imatrix)	4.55 GB	7.59	13.94
IQ2_XXS	DASH-Q IQ2_XXS	4.66 GB	7.38	13.80
IQ2_XS	llama.cpp IQ2_XS (imatrix)	4.92 GB	7.01	13.05
IQ2_XS	DASH-Q IQ2_XS	5.18 GB	6.56	12.47
IQ2_M	llama.cpp IQ2_M (imatrix)	5.49 GB	6.46	12.28
IQ2_M	DASH-Q IQ2_M	5.61 GB	6.27	11.97
Q2_K_XL	llama.cpp Q2_K (imatrix)	5.92 GB	6.42	12.17
Q2_K_XL	unsloth Q2_K_L	5.73 GB	6.74	12.61
Q2_K_XL	DASH-Q Q2_K_XL	6.06 GB	6.18	11.87

llama-perplexity, context 2048; WikiText-2 test, C4 validation (256 x 2048 tokens).

Zero-shot accuracy (lm-eval-harness, 0-shot)

File	arc_easy	arc_challenge	piqa	hellaswag	winogrande	openbookqa	commonsense_qa	truthfulqa_mc2	lambada_openai	avg
DASH-Q IQ2_XXS	77.5	53.1	79.8	75.0	75.1	43.8	72.7	54.2	75.8	67.44
DASH-Q IQ2_XS	76.3	56.1	81.0	78.4	76.4	46.2	76.0	55.9	74.7	69.01
DASH-Q IQ2_M	74.2	54.8	81.2	79.2	74.0	44.6	76.8	56.7	75.5	68.56
DASH-Q Q2_K_XL	74.4	55.5	81.4	80.2	76.9	44.6	76.2	56.4	74.2	68.86

Usage

llama-cli -m phi-4-DASHQ-IQ2_M.gguf -ngl 99 -c 8192

License

Inherits the license of the base model (microsoft/phi-4).

Downloads last month: 347

GGUF

Model size

15B params

Architecture

phi3

Hardware compatibility

2-bit

Model tree for jkim96/phi-4-DASHQ-Q2-GGUF

Base model

microsoft/phi-4

Quantized

(169)

this model