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

Libraries

How to use oliverbob/openbible with Transformers:

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

llama-cpp-python

How to use oliverbob/openbible with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="oliverbob/openbible",
	filename="openbible-unsloth.F16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use oliverbob/openbible with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf oliverbob/openbible:F16
# Run inference directly in the terminal:
llama-cli -hf oliverbob/openbible:F16

Install from WinGet (Windows)

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

Use Docker

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

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

Unsloth Studio new

How to use oliverbob/openbible 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/openbible 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/openbible to start chatting

Using HuggingFace Spaces for Unsloth

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

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

Lemonade

How to use oliverbob/openbible with Lemonade:

Pull the model

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

Run and chat with the model

lemonade run user.openbible-F16

List all available models

lemonade list

Uploaded model

Developed by: oliverbob
License: apache-2.0
Finetuned from model : tla v1 chat

BIBLE AI

language:

en license: apache-2.0 tags:
text-generation-inference
transformers
unsloth
tla architecture base_model: tla

Trained from OpenBible Dataset

Developed by: oliverbob
License: apache-2.0
Date: Day of hearts, 2024
❤️ God is love and God is good! 😄

Enjoy!!

This will hold the model for /bibleai. See generated gguf at /biblegpt.

Downloads last month: 38

GGUF

Model size

1B params

Architecture

llama

Hardware compatibility

4-bit

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

oliverbob
/

openbible

Uploaded model

BIBLE AI

Trained from OpenBible Dataset

Space using oliverbob/openbible 1