Instructions to use jeiku/Rosa_v3_3B_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use jeiku/Rosa_v3_3B_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 jeiku/Rosa_v3_3B_GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf jeiku/Rosa_v3_3B_GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf jeiku/Rosa_v3_3B_GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf jeiku/Rosa_v3_3B_GGUF:Q2_K

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 jeiku/Rosa_v3_3B_GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf jeiku/Rosa_v3_3B_GGUF:Q2_K

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 jeiku/Rosa_v3_3B_GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf jeiku/Rosa_v3_3B_GGUF:Q2_K

Use Docker

docker model run hf.co/jeiku/Rosa_v3_3B_GGUF:Q2_K

LM Studio
Jan
Ollama
How to use jeiku/Rosa_v3_3B_GGUF with Ollama:
```
ollama run hf.co/jeiku/Rosa_v3_3B_GGUF:Q2_K
```

Unsloth Studio

How to use jeiku/Rosa_v3_3B_GGUF 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 jeiku/Rosa_v3_3B_GGUF 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 jeiku/Rosa_v3_3B_GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for jeiku/Rosa_v3_3B_GGUF to start chatting

Docker Model Runner
How to use jeiku/Rosa_v3_3B_GGUF with Docker Model Runner:
```
docker model run hf.co/jeiku/Rosa_v3_3B_GGUF:Q2_K
```

Lemonade

How to use jeiku/Rosa_v3_3B_GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull jeiku/Rosa_v3_3B_GGUF:Q2_K

Run and chat with the model

lemonade run user.Rosa_v3_3B_GGUF-Q2_K

List all available models

lemonade list

Atomic Chat

This model is pretty much the pinnacle of what I can achieve in this class. I used my v2 merge as a base, then finetuned three models over the v2 base using custom datasets. I then merged the resultant models with the dare ties method.

This is intended to serve as my AI companion and you may not like some of my tuning.

FP16 available here: https://huggingface.co/jeiku/Rosa_v3_3B

Downloads last month: 34

GGUF

Model size

3B params

Architecture

stablelm

Hardware compatibility

2-bit

6-bit

16-bit

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