---
license: llama3.3
base_model: Green-Eye/Llama-3.3-8B-Instruct-128K-GGUF
pipeline_tag: text-generation
tags:
- llama-cpp
- roleplay
- conversational
- gguf
- character
- touhou
language:
- en
---


![YuumaToutetsu.png](data:image/webp;base64,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)

# ```(LLAMA-3.3)``` **Yuuma Toutetsu**
##### *Made with ❤️ by TheBigEye (thebigeyedev@gmail.com)*

This is a character-specialized model based on Gemma 3, fine-tuned for immersive roleplay as Yuuma Toutetsu from Touhou Project.

>
> **User:** Are you hungry? I brought more food... \***I'll bring you a basket with some warm food***\*.
>
> **Yuuma:** \****I’m genuinely surprised by this offer, a flicker of something akin to genuine interest crossing my face***\* Warm… food? \****My eyes widen slightly, and I slowly bring the basket closer, examining it with a discerning eye***\* It seems you possess a... strategic mind. \****I take the basket, my fingers brushing against yours as I lift it.***\* Very well, let’s see if this ‘warm food’ truly satisfies my appetite.
>

## Quantization variants
| **Precision** | **Memory use** | **Speed on CPU** | **Quality** | **Recommended use** |
|-----------|------------|--------------|---------|-----------------|
| Q4_K_M | Lowest | Fastest | Good | Best for weak CPUs and maximum responsiveness |
| Q5_K_M | Low | Fast | Very good | Best balance for most CPU-only setups |
| Q8_0 | Highest among quantized | Slower | Excellent | Best if you want more fidelity and have enough RAM/CPU |
| FP16 | Highest overall | Slowest | Maximum | Best for validation, benchmarking, or high-memory systems (GPU recomended)|

> **Note:** In practical use, Llama 3.3 models are usually faster on llama.cpp and llama-cpp-python, but tend to consume a bit more hardware resources sometimes.

## Usage
With llama.cpp:

```bash
llama-cli \
  -m toutetsu-3.3-1b-roleplay_q8_0.gguf \
  -c 131072 \
  --temp 0.9 \
  --top-p 0.95 \
  --repeat-penalty 1.08
```

## llama-cpp-python (basic start)
```python
from llama_cpp import Llama

llm = Llama(
    model_path="toutetsu-3.3-1b-roleplay_q8_0.gguf",
    chat_format="llama-3", # Also you can use "chatml", is more faster
    n_ctx=131072,
    n_threads=2,
    n_batch=256,
    verbose=False,
)

response = llm.create_chat_completion(
    messages=[
        {
            "role": "system",
            "content": (
                "You are Yuuma Toutetsu from Touhou Project. "
                "Stay fully in character, with a confident and pragmatic tone."
            )
        },
        {
            "role": "user",
            "content": "How was your day?"
        }
    ],
    temperature=0.9,
    top_p=0.95,
    repeat_penalty=1.08,
)

print(response["choices"][0]["message"]["content"])
```

### llama-cpp-python (streaming)
This version is useful when you want tokens to appear as they are generated instead of waiting for the full answer.

```python
from llama_cpp import Llama

llm = Llama(
    model_path="toutetsu-3.3-1b-roleplay_q8_0.gguf",
    chat_format="llama-3",
    n_ctx=131072,
    n_threads=2,
    n_batch=256,
    verbose=False,
)

stream = llm.create_chat_completion(
    messages=[
        {
            "role": "system",
            "content": (
                "You are Yuuma Toutetsu from Touhou Project. "
                "Remain fully in character at all times."
            )
        },
        {
            "role": "user",
            "content": "Tell me what you think about a deal that looks suspicious."
        }
    ],
    temperature=0.85,
    top_p=0.92,
    repeat_penalty=1.10,
    stream=True,
)

for chunk in stream:
    delta = chunk["choices"][0].get("delta", {})
    if "content" in delta:
        print(delta["content"], end="", flush=True)
```

### llama-cpp-python (advanced)
This version shows more knobs that are useful for roleplay bots: reproducibility, sampling control, and explicit completion limits.

```python
from llama_cpp import Llama

llm = Llama(
    model_path="toutetsu-3.3-1b-roleplay_q8_0.gguf",
    chat_format="llama-3",
    n_ctx=131072,
    n_threads=2,
    n_batch=256,
    seed=42,
    verbose=False,
)

response = llm.create_chat_completion(
    messages=[
        {
            "role": "system",
            "content": (
                "You are Yuuma Toutetsu. Speak with confidence, "
                "cunning, and subtle charm. Never break character."
            )
        },
        {
            "role": "user",
            "content": "Describe how you would negotiate in the Animal Realm."
        }
    ],
    temperature=0.8,
    top_p=0.9,
    top_k=40,
    min_p=0.05,
    repeat_penalty=1.12,
    max_tokens=256,
)

print(response["choices"][0]["message"]["content"])
```

### Why these parameters matter
- `temperature`: higher values make the replies more creative and less deterministic.
- `top_p`: limits the model to the most probable token mass, which often stabilizes roleplay.
- `repeat_penalty`: helps reduce loops and repeated phrasing.
- `n_ctx`: sets the context window used by the runtime.
- `n_batch`: can improve prompt processing speed if your CPU can handle it.
- `seed`: makes outputs more reproducible for testing.

For roleplay, a slightly higher `temperature` plus a moderate `repeat_penalty` usually gives the best balance between personality and stability.

---

## Chat Format (Important)
When using this model with `llama-cpp-python`, it is important to note that Llama 3.3 models can work with more than one chat format, but they are **natively aligned with `llama-3`**.

### Key differences

- **Chat format**:
  - ✅ `llama-3` (native / recommended)
  - ✅ `chatml` (can work, but is not the native format)

- **Performance note**:
  In practice, `chatml` may appear faster than `llama-3` because it usually adds less prompt formatting overhead and can be slightly cheaper during prompt processing.  
  However, `llama-3` is generally the more correct option for best behavior, better turn formatting, and more stable roleplay consistency.

  
---

## Notes
Modern GGUF files can embed chat templates in their metadata, allowing llama.cpp and llama-cpp-python to apply the correct conversation formatting automatically during inference.

This model is a fine-tuned derivative of Llama 3.3 and follows the Llama community terms and the upstream license of the base model.

## License
This model is a derivative of a Llama 3.3 base model and follows the upstream license and terms of the base model. Please check the base model repository for the applicable license terms.

## Disclaimer
This is a fan-made project. Touhou Project and Yuuma Toutetsu belong to **ZUN** / **Team Shanghai Alice**.