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
File size: 1,027 Bytes
8996cc5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | ---
base_model: Novaciano/Hunter.Beta-1B
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
---
# Hunter.Beta-1B
**Model creator:** [Novaciano](https://huggingface.co/Novaciano)<br/>
**Original model**: [Novaciano/Hunter.Beta-1B](https://huggingface.co/Novaciano/Hunter.Beta-1B)<br/>
**GGUF quantization:** provided by [Novaciano](https:/huggingface.co/Novaciano) using `llama.cpp`<br/>
## Special thanks
🙏 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.
## Use with Ollama
```bash
ollama run "hf.co/Novaciano/Hunter.Beta-1B-GGUF:Q4_K_M"
```
## Use with LM Studio
```bash
lms load "Novaciano/Hunter.Beta-1B-GGUF"
```
## Use with llama.cpp CLI
```bash
llama-cli --hf "Novaciano/Hunter.Beta-1B-GGUF:Q4_K_M" -p "The meaning to life and the universe is"
```
## Use with llama.cpp Server:
```bash
llama-server --hf "Novaciano/Hunter.Beta-1B-GGUF:Q4_K_M" -c 4096
```
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