---
pipeline_tag: text-generation
library_name: transformers
language: en
license: mit
tags:
  - text-generation
  - smilyai-reasoning
  - smilyai
  - sam-reasoning
  - S series
  - S1
---


### SAM-reason-S series is discontinued and is no longer maintained by smilyai.

# 🤖 Sam-reason-S1

**Sam-reason-S1** is the first model in the new `Reason-S` series from **SmilyAI**, following the experimental V-series (e.g. Sam-reason-v1, v2). This line of models focuses on embedding **reasoning**, **identity**, and **personality** into open-domain conversational agents.

---

## 📌 Model Series Context

This model is part of SmilyAI's `Reason-S1` series — a continuation of the V-series that aims to produce characterful, logically grounded models. Sam-reason-S1 is designed to:

- Maintain a consistent **AI identity**: "Sam by SmilyAI"
- Use clear reasoning steps formatted like:
  ```
  [reason]Here's how I think about it...[/reason]
  Final answer.
  ```
- Simulate custom personas, including villain-style or sarcastic tones
- Respond reliably in open-ended conversations

---

## 🛠️ Intended Use

Sam-reason-S1 is intended for:

- Chatbots with reasoning support
- Personality-rich AI agents
- Story characters with logic-driven replies
- Educational or experimental reasoning assistants

---

## 🚀 How to Use

```python
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

tokenizer = AutoTokenizer.from_pretrained("Smilyai-labs/Sam-reason-S1")
model = AutoModelForCausalLM.from_pretrained("Smilyai-labs/Sam-reason-S1")

chat = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=200)

prompt = "[reason]Thinking...[/reason]
User: What's the capital of France?
Sam:"
response = chat(prompt, do_sample=True, temperature=0.7)[0]["generated_text"]
```

---

## 📁 Files Included

- `model.safetensors`
- `config.json`
- `tokenizer_config.json`
- Tokenizer files (e.g. `tokenizer.model`, or `vocab.json` + `merges.txt`)
- `generation_config.json` (optional)

---

## 🧪 Limitations

- Replies are sampled (not deterministic)
- Identity and tone may vary depending on prompt phrasing
- Model has no memory across turns (stateless)
- Can sometimes confuse itself if the users prompt is very open ended

---

## 🧠 Future

- `Sam-reason-S2`: Memory-enabled reasoning agent
- `Sam-coder-S1`: Code-focused reasoning assistant

---

## 👤 Author

Created by **SmilyAI**  
Lead: @boningcui  
Repository: `Smilyai-labs/Sam-reason-S1`  
License: MIT

---

## 📢 Feedback

Have suggestions or want to contribute ideas to the Reason series? Reach out on Hugging Face or via SmilyAI channels.