Instructions to use aaro765/BanBTPV9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use aaro765/BanBTPV9 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 aaro765/BanBTPV9:F16
# Run inference directly in the terminal:
llama cli -hf aaro765/BanBTPV9:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf aaro765/BanBTPV9:F16
# Run inference directly in the terminal:
llama cli -hf aaro765/BanBTPV9:F16

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 aaro765/BanBTPV9:F16
# Run inference directly in the terminal:
./llama-cli -hf aaro765/BanBTPV9:F16

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 aaro765/BanBTPV9:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf aaro765/BanBTPV9:F16

Use Docker

docker model run hf.co/aaro765/BanBTPV9:F16

LM Studio
Jan
Ollama
How to use aaro765/BanBTPV9 with Ollama:
```
ollama run hf.co/aaro765/BanBTPV9:F16
```

Unsloth Studio

How to use aaro765/BanBTPV9 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 aaro765/BanBTPV9 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 aaro765/BanBTPV9 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for aaro765/BanBTPV9 to start chatting

Docker Model Runner
How to use aaro765/BanBTPV9 with Docker Model Runner:
```
docker model run hf.co/aaro765/BanBTPV9:F16
```

Lemonade

How to use aaro765/BanBTPV9 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull aaro765/BanBTPV9:F16

Run and chat with the model

lemonade run user.BanBTPV9-F16

List all available models

lemonade list

Atomic Chat

Introducing BanBTPV9, the last version of BanBTP series, designed to be a true chatbot just like our original release but even better!

What does this mean? is BanBTP officially over? No. This just means this is the end for our vanilla GPT2 based BanBTP models. new models will support a custom architecture.

Starting With BanBTP V10 (aka bantp codenamed BannerBTP) all BanBTP models will be labeled under BanBTP 2.0-V{version number}.

There will also be a BanBTP 2.0 comparison too.

Downloads last month: 52

GGUF

Model size

0.1B params

Architecture

gpt2

Hardware compatibility

16-bit

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