Safetensors
GGUF
mistral
Merge
mergekit
lazymergekit
Reiterate3680/jeiku-Aura-NeMo-12B-merged
MarinaraSpaghetti/NemoReRemix-12B
conversational
Instructions to use jeiku/AuraFinal12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use jeiku/AuraFinal12B with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="jeiku/AuraFinal12B", filename="Aura-Final-12B-ggml-model-Q4_0_4_8.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 jeiku/AuraFinal12B with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf jeiku/AuraFinal12B:Q4_0 # Run inference directly in the terminal: llama-cli -hf jeiku/AuraFinal12B:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf jeiku/AuraFinal12B:Q4_0 # Run inference directly in the terminal: llama-cli -hf jeiku/AuraFinal12B:Q4_0
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/AuraFinal12B:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf jeiku/AuraFinal12B:Q4_0
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/AuraFinal12B:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf jeiku/AuraFinal12B:Q4_0
Use Docker
docker model run hf.co/jeiku/AuraFinal12B:Q4_0
- LM Studio
- Jan
- Ollama
How to use jeiku/AuraFinal12B with Ollama:
ollama run hf.co/jeiku/AuraFinal12B:Q4_0
- Unsloth Studio new
How to use jeiku/AuraFinal12B 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/AuraFinal12B 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/AuraFinal12B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for jeiku/AuraFinal12B to start chatting
- Pi new
How to use jeiku/AuraFinal12B with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf jeiku/AuraFinal12B:Q4_0
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "jeiku/AuraFinal12B:Q4_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use jeiku/AuraFinal12B with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf jeiku/AuraFinal12B:Q4_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default jeiku/AuraFinal12B:Q4_0
Run Hermes
hermes
- Docker Model Runner
How to use jeiku/AuraFinal12B with Docker Model Runner:
docker model run hf.co/jeiku/AuraFinal12B:Q4_0
- Lemonade
How to use jeiku/AuraFinal12B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull jeiku/AuraFinal12B:Q4_0
Run and chat with the model
lemonade run user.AuraFinal12B-Q4_0
List all available models
lemonade list
AuraFinal12B
AuraFinal12B is a merge of the following models using LazyMergekit:
🧩 Configuration
slices:
- sources:
- model: Reiterate3680/jeiku-Aura-NeMo-12B-merged
layer_range: [0,40]
- model: MarinaraSpaghetti/NemoReRemix-12B
layer_range: [0,40]
merge_method: slerp
base_model: Reiterate3680/jeiku-Aura-NeMo-12B-merged
parameters:
t:
- filter: self_attn
value: [0, 0.3, 0.5, 0.7, 1]
- filter: mlp
value: [1, 0.7, 0.5, 0.3, 0]
- value: 0.5
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "jeiku/AuraFinal12B"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
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