Instructions to use RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-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 RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-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 RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-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 RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-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 RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf:Q4_K_M
Use Docker
docker model run hf.co/RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf with Ollama:
ollama run hf.co/RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf with Docker Model Runner:
docker model run hf.co/RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf:Q4_K_M
- Lemonade
How to use RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RichardErkhov/CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf:Q4_K_M
Run and chat with the model
lemonade run user.CarrotAI_-_Llama-3.2-Rabbit-Ko-1B-Instruct-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Quantization made by Richard Erkhov.
Llama-3.2-Rabbit-Ko-1B-Instruct - GGUF
- Model creator: https://huggingface.co/CarrotAI/
- Original model: https://huggingface.co/CarrotAI/Llama-3.2-Rabbit-Ko-1B-Instruct/
Original model description:
license: llama3.2 datasets: - CarrotAI/ko-instruction-dataset - CarrotAI/Magpie-Ko-Pro-AIR language: - ko - en base_model: - meta-llama/Llama-3.2-1B-Instruct pipeline_tag: text-generation
Score
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| kobest_boolq | 1 | none | 5 | acc | ↑ | 0.5726 | ± | 0.0132 |
| none | 5 | f1 | ↑ | 0.5725 | ± | N/A | ||
| kobest_copa | 1 | none | 5 | acc | ↑ | 0.5200 | ± | 0.0158 |
| none | 5 | f1 | ↑ | 0.5189 | ± | N/A | ||
| kobest_hellaswag | 1 | none | 5 | acc | ↑ | 0.3640 | ± | 0.0215 |
| none | 5 | acc_norm | ↑ | 0.4380 | ± | 0.0222 | ||
| none | 5 | f1 | ↑ | 0.3592 | ± | N/A | ||
| kobest_sentineg | 1 | none | 5 | acc | ↑ | 0.5642 | ± | 0.0249 |
| none | 5 | f1 | ↑ | 0.5554 | ± | N/A | ||
| kobest_wic | 1 | none | 5 | acc | ↑ | 0.5087 | ± | 0.0141 |
| none | 5 | f1 | ↑ | 0.4979 | ± | N/A |
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.2995 | ± | 0.0126 |
| strict-match | 5 | exact_match | ↑ | 0.2987 | ± | 0.0126 |
@article{Llama3.2RabbitKo1BInstruct,
title={CarrotAI/Llama-3.2-Rabbit-Ko-1B-Instruct Card},
author={CarrotAI (L, GEUN)},
year={2024},
url = {https://huggingface.co/CarrotAI/Llama-3.2-Rabbit-Ko-1B-Instruct}
}
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