Text Generation
Transformers
Safetensors
English
qwen2
dating
relationships
advice
companion
chat
fine-tuned
qwen
spiceechat
conversational
text-generation-inference
Instructions to use SpiceeChat/Cinder-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpiceeChat/Cinder-1.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SpiceeChat/Cinder-1.5B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SpiceeChat/Cinder-1.5B") model = AutoModelForCausalLM.from_pretrained("SpiceeChat/Cinder-1.5B") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SpiceeChat/Cinder-1.5B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SpiceeChat/Cinder-1.5B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SpiceeChat/Cinder-1.5B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/SpiceeChat/Cinder-1.5B
- SGLang
How to use SpiceeChat/Cinder-1.5B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "SpiceeChat/Cinder-1.5B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SpiceeChat/Cinder-1.5B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "SpiceeChat/Cinder-1.5B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SpiceeChat/Cinder-1.5B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use SpiceeChat/Cinder-1.5B with Docker Model Runner:
docker model run hf.co/SpiceeChat/Cinder-1.5B
File size: 5,128 Bytes
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license: apache-2.0
language:
- en
tags:
- dating
- relationships
- advice
- companion
- chat
- fine-tuned
- qwen
- spiceechat
pipeline_tag: text-generation
model-index:
- name: Cinder-1.5B
results: []
datasets:
- SpiceeChat/OkCupid-59k-Anonymized-Profiles
- SpiceeChat/Dating-App-Behavior-Dataset
- SpiceeChat/Dating-App-59k-Anonymized-Profiles
- SpiceeChat/Lovoo-4k-Profiles
library_name: transformers
---
<p align="center">
<img src="https://huggingface.co/SpiceeChat/Bio2Tags-Qwen3.5-4B-SFT/resolve/main/Spiceechat.png"
alt="SpiceeChat"
width="1100"
height="1000"
style="border-radius: 50%; object-fit: cover;">
</p>
<p align="center">
<a href="https://huggingface.co/Qwen"><img src="https://img.shields.io/badge/Qwen-2.5-blue?logo=huggingface" alt="Qwen2.5"></a>
<a href="https://github.com/unslothai/unsloth"><img src="https://img.shields.io/badge/FineβTuned-QLoRA-green" alt="FineβTuned"></a>
<a href="https://huggingface.co/SpiceeChat"><img src="https://img.shields.io/badge/SpiceeChat-π₯-orange" alt="SpiceeChat"></a>
<a href="https://www.apache.org/licenses/LICENSE-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-yellow" alt="License"></a>
</p>
---
# π₯ Cinder-1.5B β Your AI Companion for Love & Relationships
**Cinder** is a 1.5-billion-parameter conversational AI fine-tuned by **SpiceeChat** to be your personal companion for all things dating, relationships, and emotional connection. Think of her as the friend you text when love gets confusing β part advisor, part confidant, all heart.
---
## π¬ What Cinder Can Do
| Capability | Description |
|------------|-------------|
| π§βπ€βπ§ **Partner Matching** | Analyze profiles and suggest ideal partner types |
| π **Breakup Support** | Compassionate advice for healing and moving forward |
| π **Communication Tips** | Help with difficult conversations and expressing feelings |
| π **Profile Analysis** | Understand what dating profiles really say about a person |
| π§ **Self-Discovery** | Help you figure out what you truly want in a relationship |
| π€ **Emotional Support** | A safe, non-judgmental space to talk about anything |
---
## π§ Who Is Cinder?
> **"Who are you?"**
>
> *"I'm Cinder. Think of me as the friend you text when love gets confusing β part advisor, part confidant, all heart. I was built by SpiceeChat to help people navigate the messy, beautiful world of dating and relationships. I help you find your ideal partner and work through every relationship problem along the way."*
---
## π οΈ Technical Details
| Detail | Value |
|--------|-------|
| **Base Model** | `Qwen/Qwen2.5-1.5B-Instruct` |
| **Fine-Tuning Method** | QLoRA (Unsloth) |
| **Training Data** | Curated mix of dating profiles, relationship dialogues, and identity grounding |
| **Sequence Length** | 2048 tokens |
| **Precision** | FP16 (merged) |
| **LoRA Rank** | 16 |
| **Trainable Params** | 18.5M (1.18% of total) |
| **License** | Apache 2.0 |
---
## π Training Data Sources
| Source | Description |
|--------|-------------|
| ποΈ **Custom JSONL files** | Curated conversation datasets for dialogue style |
| π **OkCupid-59k** | 59,000 anonymized dating profiles |
| π± **Dating-App-Behavior-Dataset** | Real user behavior patterns |
| π **Dating-App-59k-Anonymized-Profiles** | Broad, diverse profile data |
| π¬ **Lovoo profiles** | Raw dating bios for authentic language |
---
## π How to Use
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "SpiceeChat/Cinder-1.5B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype="auto",
device_map="auto",
)
messages = [
{"role": "user", "content": "I just went through a bad breakup. What should I do?"}
]
inputs = tokenizer.apply_chat_template(
messages,
tokenize=True,
add_generation_prompt=True,
return_tensors="pt"
).to(model.device)
outputs = model.generate(
input_ids=inputs,
max_new_tokens=200,
temperature=0.7,
do_sample=True,
)
response = tokenizer.decode(outputs[0][inputs.shape[-1]:], skip_special_tokens=True)
print(response)
```
---
## π·οΈ Built by SpiceeChat
Cinder is part of the **SpiceeChat** ecosystem β tools and AI designed to help people find love, build meaningful relationships, and navigate the complexities of modern dating.
- π **Website**: [dating-fatigue.com](https://dating-fatigue.com)
- π€ **Soulmate Oracle**: Live on Hugging Face Spaces
- π **Organization**: [SpiceeChat on Hugging Face](https://huggingface.co/SpiceeChat)
---
## β οΈ Disclaimer
Cinder is an AI companion, **not a licensed therapist**. She's here to listen, support, and offer perspective β but for serious mental health concerns, please seek help from a qualified professional.
---
## π License
Released under the **Apache 2.0** license. Free to use, modify, and share β just give credit to SpiceeChat.
---
<div align="center">
<sub>Made with β€οΈ by SpiceeChat</sub>
</div> |