Instructions to use WasamiKirua/L3-Odyssey-70B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use WasamiKirua/L3-Odyssey-70B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("WasamiKirua/L3-Odyssey-70B-GGUF", dtype="auto")

llama-cpp-python

How to use WasamiKirua/L3-Odyssey-70B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="WasamiKirua/L3-Odyssey-70B-GGUF",
	filename="L3-Odyssey-70B-F16.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 WasamiKirua/L3-Odyssey-70B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf WasamiKirua/L3-Odyssey-70B-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf WasamiKirua/L3-Odyssey-70B-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf WasamiKirua/L3-Odyssey-70B-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf WasamiKirua/L3-Odyssey-70B-GGUF:F16

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 WasamiKirua/L3-Odyssey-70B-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf WasamiKirua/L3-Odyssey-70B-GGUF:F16

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 WasamiKirua/L3-Odyssey-70B-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf WasamiKirua/L3-Odyssey-70B-GGUF:F16

Use Docker

docker model run hf.co/WasamiKirua/L3-Odyssey-70B-GGUF:F16

LM Studio
Jan
Ollama
How to use WasamiKirua/L3-Odyssey-70B-GGUF with Ollama:
```
ollama run hf.co/WasamiKirua/L3-Odyssey-70B-GGUF:F16
```

Unsloth Studio new

How to use WasamiKirua/L3-Odyssey-70B-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 WasamiKirua/L3-Odyssey-70B-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 WasamiKirua/L3-Odyssey-70B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for WasamiKirua/L3-Odyssey-70B-GGUF to start chatting

Pi new

How to use WasamiKirua/L3-Odyssey-70B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf WasamiKirua/L3-Odyssey-70B-GGUF:F16

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": "WasamiKirua/L3-Odyssey-70B-GGUF:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use WasamiKirua/L3-Odyssey-70B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf WasamiKirua/L3-Odyssey-70B-GGUF:F16

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 WasamiKirua/L3-Odyssey-70B-GGUF:F16

Run Hermes

hermes

Docker Model Runner
How to use WasamiKirua/L3-Odyssey-70B-GGUF with Docker Model Runner:
```
docker model run hf.co/WasamiKirua/L3-Odyssey-70B-GGUF:F16
```

Lemonade

How to use WasamiKirua/L3-Odyssey-70B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull WasamiKirua/L3-Odyssey-70B-GGUF:F16

Run and chat with the model

lemonade run user.L3-Odyssey-70B-GGUF-F16

List all available models

lemonade list

🌌 L3-Odyssey-70B (The Versatile Storyteller)

L3-Odyssey-70B is a state-of-the-art 70-billion parameter model designed for ultimate flexibility in high-quality Roleplay (RP) and immersive storytelling. It is a fusion of two Llama 3 legends: Sao10K/L3-70B-Euryale-v2.1 and Steelskull/L3.3-MS-Nevoria-70b.

The goal of this merge is to create a true narrative chameleon. By blending the unparalleled emotional intelligence and creative prose of Euryale with the superior logic, context handling, and instruction-following of Nevoria (based on Llama 3.3), L3-Odyssey adapts to any genre, tone, or writing style you request.

🤝 The "Odyssey" Symbiosis

We used the DARE-TIES merging method with a high density setting to ensure both models contribute their unique strengths without interfering with each other's core capabilities.

models:
  - model: Sao10K/L3-70B-Euryale-v2.1
    parameters:
      weight: 0.55 # The Heart: Storytelling engine, emotional depth, and rich prose.
  - model: Steelskull/L3.3-MS-Nevoria-70b
    parameters:
      weight: 0.45 # The Brain: Logic stabilizer, context handling, and strict coherence.

merge_method: dare_ties
base_model: Steelskull/L3.3-MS-Nevoria-70b
parameters:
  density: 0.75 # High density to retain vast general knowledge and vocabulary.
  weight: 1.0
dtype: bfloat16
tokenizer_source: base

💪 Key Strengths: The Generalist Powerhouse

Ultimate Flexibility: Excels at a wide range of tasks, from humorous, casual chats to dark, complex, novel-length storytelling. It adapts its vocabulary and tone to match your input.
Narrative Coherence: Thanks to the Llama 3.3 foundation (Nevoria), the model maintains incredibly stable plotlines and character consistency over very long contexts.
Emotional Intelligence (EQ): Inherits Euryale's famous ability to parse subtext, handle complex relationship dynamics, and deliver emotionally resonant dialogue.
Instruction Adherence: Highly responsive to System Prompts, World Info, and Character Cards. If you define a specific rule for your world, it will follow it.
Uncensored Freedom: Completely unrestricted. It will engage with any creative theme—dark, violent, or explicit—without refusal, focusing purely on your narrative goals.

🚀 Best Use Cases

Long-Form Collaborative Writing: Writing novels or extensive story arcs where the AI acts as a true writing partner.
Dynamic Roleplay: Engaging in scenarios where the tone can shift from action to drama to slice-of-life.
Text-Adventure Game Mastering: Acts as a capable GM that manages the world, items, and NPCs consistently while providing descriptive prose.

📈 Recommended Inference Settings

As a Llama 3 based model, standard Llama 3 settings apply. However, for storytelling, we recommend balancing creativity with focus:

Temperature: 1.0 - 1.15 (depending on how creative you want it).
Min-P: 0.05 - 0.1 (essential for stability at higher temperatures).
Repetition Penalty: 1.05 - 1.1 (standard Lllama 3 range).
Context: Native context is 8k, but Lllama 3.3 can often push further depending on the quantization method (EXL2/GGUF).

Disclaimer

L3-Odyssey-70B is an experimental generalist model. It is completely uncensored and is intended for mature users engaged in creative writing and roleplay. It has no safety filters and may generate content unsuitable for some audiences. User discretion is advised.