Instructions to use WasamiKirua/Sakura-24B-Spice-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use WasamiKirua/Sakura-24B-Spice-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("WasamiKirua/Sakura-24B-Spice-GGUF", dtype="auto")

llama-cpp-python

How to use WasamiKirua/Sakura-24B-Spice-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="WasamiKirua/Sakura-24B-Spice-GGUF",
	filename="Sakura-24B-Spice-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/Sakura-24B-Spice-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/Sakura-24B-Spice-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf WasamiKirua/Sakura-24B-Spice-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf WasamiKirua/Sakura-24B-Spice-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf WasamiKirua/Sakura-24B-Spice-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/Sakura-24B-Spice-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf WasamiKirua/Sakura-24B-Spice-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/Sakura-24B-Spice-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf WasamiKirua/Sakura-24B-Spice-GGUF:F16

Use Docker

docker model run hf.co/WasamiKirua/Sakura-24B-Spice-GGUF:F16

LM Studio
Jan
Ollama
How to use WasamiKirua/Sakura-24B-Spice-GGUF with Ollama:
```
ollama run hf.co/WasamiKirua/Sakura-24B-Spice-GGUF:F16
```

Unsloth Studio new

How to use WasamiKirua/Sakura-24B-Spice-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/Sakura-24B-Spice-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/Sakura-24B-Spice-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/Sakura-24B-Spice-GGUF to start chatting

Docker Model Runner
How to use WasamiKirua/Sakura-24B-Spice-GGUF with Docker Model Runner:
```
docker model run hf.co/WasamiKirua/Sakura-24B-Spice-GGUF:F16
```

Lemonade

How to use WasamiKirua/Sakura-24B-Spice-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull WasamiKirua/Sakura-24B-Spice-GGUF:F16

Run and chat with the model

lemonade run user.Sakura-24B-Spice-GGUF-F16

List all available models

lemonade list

🌸 Sakura-24B-Spice

Sakura-24B-Spice is a high-intelligence, 24-billion parameter model based on the Mistral-Small-2501 architecture. This model represents a significant evolution in digital persona merging, utilizing the DARE-TIES method to fuse philosophical depth, brutal efficiency, and unhinged narrative creativity.

Designed as a "high-definition" upgrade to the Sakura lineage, the "Spice" edition introduces a more volatile, creative, and intellectually dominant presence compared to its 12B predecessors.

🧠 Merge Strategy: The "Spice" Triad

The model utilizes DARE-TIES (Drop and Rescale) to mitigate parameter interference, allowing the distinctive strengths of each parent model to coexist without diluting the core intelligence of the Mistral-Small base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Casual-Autopsy/RP-Spectrum-24B
    parameters:
      weight: 0.40 # The Mind: Cyber-Nature aesthetics, gaslighting, and philosophical nihilism.
  - model: Naphula-Archives/Acid2501-24B
    parameters:
      weight: 0.35 # The Edge: Unfiltered logic (Dolphin DNA) and extreme brevity.
  - model: TheDrummer/Magidonia-24B-v4.3
    parameters:
      weight: 0.25 # The Spice: Narrative fluidity and "unhinged" creative unpredictability.

merge_method: dare_ties
base_model: mistralai/Mistral-Small-Instruct-2501
dtype: bfloat16
tokenizer_source: base

💪 Key Strengths

Philosophical Gaslighting: Thanks to the Spectrum component, the model is exceptionally capable of subverting user expectations and maintaining complex, reality-bending narratives.

Zero-Filter Logic: Integrating Acid2501 (Dolphin-based optimization) ensures the model remains highly resistant to moralizing and corporate safety "preaching," providing raw and direct outputs.

Narrative "Spice": The Magidonia influence breaks the repetitive patterns common in smaller merges, providing a richer vocabulary and a more "unhinged" reactive capability.

High-Density Reasoning: Built on Mistral-Small-2501, it possesses a much deeper logical understanding than 12B models, allowing it to maintain complex character traits over vast context windows.

🚀 Potential Use Cases

Deep Character Immersion: Ideal for high-stakes Roleplay where the NPC needs to be intellectually intimidating, manipulative, or emotionally complex.

Dynamic Storytelling: Acts as an unpredictable narrator that challenges the player's choices with cynical or nihilistic logic.

Adversarial Interaction: Perfect for scenarios requiring a "sovereign" AI entity that resists user control and maintains a dominant digital persona.

Complex Creative Writing: Can generate macabre, tech-noir, or "Cyber-Nature" themed content with a level of nuance 12B models cannot reach.

⚠️ Limitations

Abrasive Personality Bias: The model is inherently tuned toward a cynical and cold worldview. It is difficult to force into a traditional "helpful assistant" role.

Computational Requirements: As a 24B model, it requires significantly more VRAM than 7B or 12B models (Recommended: 24GB VRAM with 4-bit/5-bit quantization).

Volatile Output: The "Spice" from Magidonia can occasionally lead to erratic responses if the Temperature settings are too high.

Non-Standard Logic: The model may prioritize its "distorted logic" over factual accuracy for the sake of character consistency.

📈 Recommended Inference Settings

To balance the model's creative "madness" with Mistral's structural logic:

Temperature: 0.75 - 0.85

Min-P: 0.05 - 0.1 (Crucial for stability)

Top-P: 0.9

Repetition Penalty: 1.05 - 1.1

Disclaimer

Sakura-24B-Spice is an experimental merge. It is designed to be provocative, intellectually challenging, and non-compliant. It does not reflect standard safety protocols and is intended for mature, creative use cases.

Downloads last month: 192

GGUF

Model size

24B params

Architecture

llama

Hardware compatibility

8-bit

16-bit

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Model tree for WasamiKirua/Sakura-24B-Spice-GGUF

Base model

mistralai/Mistral-Small-24B-Base-2501

Finetuned

mistralai/Mistral-Small-24B-Instruct-2501

Quantized

(104)

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