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qwen-4b-2507-rp-mahou/README.md

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---
license: apache-2.0
base_model: Qwen/Qwen3-4B-Instruct-2507
tags:
- roleplay
- creative-writing
- sft
- qwen3
datasets:
- flammenai/flame-kindling-v1
language:
- en
pipeline_tag: text-generation
library_name: transformers
---
# qwen-4b-2507-rp-mahou
A full-parameter SFT of [`Qwen/Qwen3-4B-Instruct-2507`](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) on [`flammenai/flame-kindling-v1`](https://huggingface.co/datasets/flammenai/flame-kindling-v1) for creative roleplay and character interaction.
## Highlights
- Base: Qwen3-4B-Instruct-2507
- Method: full-sequence SFT (no LoRA)
- Dataset: flame-kindling-v1 (RP / creative writing)
- Precision: bf16
- Chat template: Qwen3 (use `enable_thinking=False` for RP)
## Usage
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
MODEL_ID = "Pranavz/qwen-4b-2507-rp-mahou"
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
model = AutoModelForCausalLM.from_pretrained(
MODEL_ID,
torch_dtype=torch.bfloat16,
device_map="auto",
)
messages = [
{"role": "system", "content": "You are a creative roleplay assistant. Stay in character, write vividly, and use asterisks for actions."},
{"role": "user", "content": "*walks into the tavern, shaking off the rain* Evening, barkeep. Got a room?"},
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True,
enable_thinking=False,
)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
with torch.inference_mode():
out = model.generate(
**inputs,
max_new_tokens=512,
temperature=0.8,
top_p=0.9,
top_k=40,
repetition_penalty=1.1,
do_sample=True,
)
print(tokenizer.decode(out[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
```
## Recommended sampler settings
| Parameter | Value | Notes |
|---|---|---|
| `temperature` | 0.7 0.85 | creative without going off-rails |
| `top_p` | 0.9 | trim the long tail |
| `top_k` | 40 | hard vocab cap |
| `min_p` | 0.05 | optional, often nicer than top_p alone |
| `repetition_penalty` | 1.05 1.15 | RP models love loops — kill them |
| `max_new_tokens` | 512 1024 | RP needs room |
Always pass `enable_thinking=False` to the chat template — RP doesn't want CoT.
## Limitations
- Trained on a single curated RP dataset; expect a particular tone (vivid, action-asterisk style)
- Not safety-tuned beyond what the base model provides
- English only
## Acknowledgements
- Base model: [Qwen team](https://huggingface.co/Qwen)
- Dataset: [flammenai/flame-kindling-v1](https://huggingface.co/datasets/flammenai/flame-kindling-v1)