Instructions to use UmbrellaInc/Hunter.Beta-1B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UmbrellaInc/Hunter.Beta-1B-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UmbrellaInc/Hunter.Beta-1B-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use UmbrellaInc/Hunter.Beta-1B-GGUF 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 UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf UmbrellaInc/Hunter.Beta-1B-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 UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf UmbrellaInc/Hunter.Beta-1B-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 UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use UmbrellaInc/Hunter.Beta-1B-GGUF with Ollama:
ollama run hf.co/UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use UmbrellaInc/Hunter.Beta-1B-GGUF with Docker Model Runner:
docker model run hf.co/UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M
- Lemonade
How to use UmbrellaInc/Hunter.Beta-1B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull UmbrellaInc/Hunter.Beta-1B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Hunter.Beta-1B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload README.md with huggingface_hub
Browse files
README.md
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---
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base_model: Novaciano/Hunter.Beta-1B
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library_name: transformers
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tags:
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- mergekit
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- merge
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- llama-cpp
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- gguf-my-repo
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---
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# Hunter.Beta-1B
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**Model creator:** [Novaciano](https://huggingface.co/Novaciano)<br/>
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**Original model**: [Novaciano/Hunter.Beta-1B](https://huggingface.co/Novaciano/Hunter.Beta-1B)<br/>
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**GGUF quantization:** provided by [Novaciano](https:/huggingface.co/Novaciano) using `llama.cpp`<br/>
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## Special thanks
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🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.
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## Use with Ollama
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```bash
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ollama run "hf.co/Novaciano/Hunter.Beta-1B-GGUF:Q4_K_M"
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```
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## Use with LM Studio
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```bash
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lms load "Novaciano/Hunter.Beta-1B-GGUF"
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```
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## Use with llama.cpp CLI
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```bash
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llama-cli --hf "Novaciano/Hunter.Beta-1B-GGUF:Q4_K_M" -p "The meaning to life and the universe is"
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```
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## Use with llama.cpp Server:
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```bash
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llama-server --hf "Novaciano/Hunter.Beta-1B-GGUF:Q4_K_M" -c 4096
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```
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