Instructions to use Pinkstack/PARM-Phi-3.5-mini-o1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Pinkstack/PARM-Phi-3.5-mini-o1-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Pinkstack/PARM-Phi-3.5-mini-o1-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Pinkstack/PARM-Phi-3.5-mini-o1-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Pinkstack/PARM-Phi-3.5-mini-o1-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 Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_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 Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_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 Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use Pinkstack/PARM-Phi-3.5-mini-o1-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Pinkstack/PARM-Phi-3.5-mini-o1-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": "Pinkstack/PARM-Phi-3.5-mini-o1-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M

SGLang

How to use Pinkstack/PARM-Phi-3.5-mini-o1-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Pinkstack/PARM-Phi-3.5-mini-o1-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Pinkstack/PARM-Phi-3.5-mini-o1-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Pinkstack/PARM-Phi-3.5-mini-o1-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Pinkstack/PARM-Phi-3.5-mini-o1-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use Pinkstack/PARM-Phi-3.5-mini-o1-GGUF with Ollama:
```
ollama run hf.co/Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use Pinkstack/PARM-Phi-3.5-mini-o1-GGUF with Docker Model Runner:
```
docker model run hf.co/Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M
```

Lemonade

How to use Pinkstack/PARM-Phi-3.5-mini-o1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Pinkstack/PARM-Phi-3.5-mini-o1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.PARM-Phi-3.5-mini-o1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Pinkstack commited on Dec 15, 2024

Commit

33922e8

verified ·

1 Parent(s): fe0553a

Update README.md

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README.md +3 -1

README.md CHANGED Viewed

@@ -6,9 +6,11 @@ tags:
 - unsloth
 - llama
 - gguf
 license: apache-2.0
 language:
 - en
 ---
 # Uploaded  model
@@ -19,4 +21,4 @@ language:
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

 - unsloth
 - llama
 - gguf
+- reasoning
 license: apache-2.0
 language:
 - en
+pipeline_tag: text-generation
 ---
 # Uploaded  model
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)