Instructions to use brittlewis12/phi-2-orange-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use brittlewis12/phi-2-orange-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="brittlewis12/phi-2-orange-GGUF",
	filename="phi-2-orange.Q2_K.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use brittlewis12/phi-2-orange-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf brittlewis12/phi-2-orange-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf brittlewis12/phi-2-orange-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf brittlewis12/phi-2-orange-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf brittlewis12/phi-2-orange-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 brittlewis12/phi-2-orange-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf brittlewis12/phi-2-orange-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 brittlewis12/phi-2-orange-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf brittlewis12/phi-2-orange-GGUF:Q4_K_M

Use Docker

docker model run hf.co/brittlewis12/phi-2-orange-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use brittlewis12/phi-2-orange-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "brittlewis12/phi-2-orange-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "brittlewis12/phi-2-orange-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/brittlewis12/phi-2-orange-GGUF:Q4_K_M

Ollama
How to use brittlewis12/phi-2-orange-GGUF with Ollama:
```
ollama run hf.co/brittlewis12/phi-2-orange-GGUF:Q4_K_M
```

Unsloth Studio

How to use brittlewis12/phi-2-orange-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 brittlewis12/phi-2-orange-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 brittlewis12/phi-2-orange-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for brittlewis12/phi-2-orange-GGUF to start chatting

Docker Model Runner
How to use brittlewis12/phi-2-orange-GGUF with Docker Model Runner:
```
docker model run hf.co/brittlewis12/phi-2-orange-GGUF:Q4_K_M
```

Lemonade

How to use brittlewis12/phi-2-orange-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull brittlewis12/phi-2-orange-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.phi-2-orange-GGUF-Q4_K_M

List all available models

lemonade list

Phi-2 Orange GGUF

Original model: Phi-2 Orange Model creator: Rhys Jones

This repo contains GGUF format model files for Rhys Jones' Phi-2 Orange.

What is GGUF?

GGUF is a file format for representing AI models. It is the third version of the format, introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. Converted using llama.cpp revision de473f5, the last compatible version before Microsoft's incompatible modeling changes were introduced to llama.cpp.

Prompt template: ChatML

<|im_start|>system
{{system_message}}<|im_end|>
<im_start|>user
{{prompt}}<|im_end|>
<|im_start|>assistant

Download & run with cnvrs on iPhone, iPad, and Mac!

cnvrs is the best app for private, local AI on your device:

create & save Characters with custom system prompts & temperature settings
download and experiment with any GGUF model you can find on HuggingFace!
make it your own with custom Theme colors
powered by Metal ⚡️ & Llama.cpp, with haptics during response streaming!
try it out yourself today, on Testflight!
follow cnvrs on twitter to stay up to date

Original Model Evaluations:

Evaluations done using mlabonne's Colab notebook llm-autoeval. Also check out the alternative leaderboard, YALL: Yet_Another_LLM_Leaderboard

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
phi-2-orange	33.37	71.33	49.87	37.3	47.97
phi-2-dpo	30.39	71.68	50.75	34.9	46.93
dolphin-2_6-phi-2	33.12	69.85	47.39	37.2	46.89
phi-2	27.98	70.8	44.43	35.21	44.61

Downloads last month: 188

GGUF

Model size

3B params

Architecture

phi2

Hardware compatibility

2-bit

4-bit

5-bit

6-bit

Model tree for brittlewis12/phi-2-orange-GGUF

Base model

rhysjones/phi-2-orange

Quantized

(3)

this model

brittlewis12
/

phi-2-orange-GGUF