Sam-reason-S1 / README.md
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metadata
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SAM-reason-S series is discontinued and is no longer maintained by smilyai.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

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.