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

Libraries

How to use oliverbob/biblegpt with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("oliverbob/biblegpt", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

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

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/oliverbob/biblegpt:F16

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

Unsloth Studio

How to use oliverbob/biblegpt 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 oliverbob/biblegpt 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 oliverbob/biblegpt to start chatting

Using HuggingFace Spaces for Unsloth

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

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

Lemonade

How to use oliverbob/biblegpt with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull oliverbob/biblegpt:F16

Run and chat with the model

lemonade run user.biblegpt-F16

List all available models

lemonade list

Atomic Chat

Curious about the dataset used for training this model

by xiaoyangxuoo - opened Dec 3, 2024

Discussion

xiaoyangxuoo

Dec 3, 2024

As title suggests, I really appreciate the effort of training this model, but could you please share some insights on the model architecture as well as the dataset used to train this model?

When was this model trained?

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