Instructions to use DrChamyoung/PartnerAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DrChamyoung/PartnerAI with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="DrChamyoung/PartnerAI",
	filename="PartnerAI_12_612.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use DrChamyoung/PartnerAI with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf DrChamyoung/PartnerAI
# Run inference directly in the terminal:
llama-cli -hf DrChamyoung/PartnerAI

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf DrChamyoung/PartnerAI
# Run inference directly in the terminal:
llama-cli -hf DrChamyoung/PartnerAI

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 DrChamyoung/PartnerAI
# Run inference directly in the terminal:
./llama-cli -hf DrChamyoung/PartnerAI

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 DrChamyoung/PartnerAI
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DrChamyoung/PartnerAI

Use Docker

docker model run hf.co/DrChamyoung/PartnerAI

LM Studio
Jan
Ollama
How to use DrChamyoung/PartnerAI with Ollama:
```
ollama run hf.co/DrChamyoung/PartnerAI
```

Unsloth Studio new

How to use DrChamyoung/PartnerAI 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 DrChamyoung/PartnerAI 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 DrChamyoung/PartnerAI to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for DrChamyoung/PartnerAI to start chatting

Docker Model Runner
How to use DrChamyoung/PartnerAI with Docker Model Runner:
```
docker model run hf.co/DrChamyoung/PartnerAI
```

Lemonade

How to use DrChamyoung/PartnerAI with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DrChamyoung/PartnerAI

Run and chat with the model

lemonade run user.PartnerAI-{{QUANT_TAG}}

List all available models

lemonade list

DrChamyoung commited on Jun 10, 2024

Commit

85feb4d

verified ·

1 Parent(s): 33a8dd8

Update README.md

Browse files

Files changed (1) hide show

README.md +15 -1

README.md CHANGED Viewed

@@ -1,5 +1,19 @@
 ---
 license: apache-2.0
 ---
 Partner AI
@@ -35,7 +49,7 @@ Installation
 (Provide clear installation instructions based on your chosen framework(s). Here's a general template:)
 Prerequisites: Ensure you have the necessary frameworks (ONNX, JAX, NEMO, NVIDIA CUDA Toolkit) installed on your system. Refer to their respective documentation for installation guidance.
-Clone the Repository: (If open-source) Clone the Partner AI repository from GitHub using git clone https://github.com/your-username/partner-ai.git.
 Install Dependencies: Navigate to the cloned directory and run pip install -r requirements.txt to install required Python packages.
 Usage

 ---
 license: apache-2.0
+datasets:
+- m-a-p/Matrix
+- HuggingFaceFW/fineweb
+- openbmb/RLAIF-V-Dataset
+- allenai/WildChat-1M
+- TIGER-Lab/WebInstructSub
+metrics:
+- accuracy
+- bleu
+- brier_score
+- character
+- charcut_mt
+tags:
+- code
 ---
 Partner AI
 (Provide clear installation instructions based on your chosen framework(s). Here's a general template:)
 Prerequisites: Ensure you have the necessary frameworks (ONNX, JAX, NEMO, NVIDIA CUDA Toolkit) installed on your system. Refer to their respective documentation for installation guidance.
+Clone the Repository: (If open-source) Clone the Partner AI repository from GitHub using git clone https://github.com/InboraStudio
 Install Dependencies: Navigate to the cloned directory and run pip install -r requirements.txt to install required Python packages.
 Usage