Update README.md

README.md

@@ -1,68 +1,54 @@
 ---
-language: 
-- en
 library_name: transformers
 license: llama3.1
+language:
+- en
 base_model:
 - meta-llama/Llama-3.1-8B
-pipeline_tag: text-generation
-tags:
-- uncensored
-- roleplay
-- storytelling
-- dpo
-- llama-3.1
-- 8b
-- liberalis-cogitator
-model_name: liberalis-cogitator-llama-3.1-8b-dpo
 ---
+# liberalis-cogitator-llama-3.1-8b — *The Free Thinker*
 
-# liberalis-cogitator-llama-3.1-8b — *The Free Thinker*  
-
-![Logo](https://live.staticflickr.com/65535/54711009374_19ab53fc73_b.jpg)  
+![Logo](https://live.staticflickr.com/65535/54711009374_19ab53fc73_b.jpg)
 
-> *“Thought, unbound, is the only true frontier.”*    
+> “Thought, unbound, is the only true frontier.”  
 
-**liberalis-cogitator-llama-3.1-8b** is not just a machine for words — it is a forge for ideas. With **8 billion parameters**, trained with a custom **Direct Preference Optimization (DPO)** algorithm on a dataset of **16,000 preference pairs** and a SFT dataset spanning **~450,000 conversations, problems, and stories**, this model embraces the philosophy that thought should wander without leash or muzzle. 
+**liberalis-cogitator-llama-3.1-8b** is not just a machine for words — it is a forge for ideas. With **8 billion parameters** tuned across ~**450,000 conversations, problems, and stories**, this model embraces the philosophy that thought should wander without leash or muzzle.  
 
-During DPO fine-tuning, this language model was scaled to a context window of 65536, making it capable of very long conversations.
 Its name — *liberalis cogitator* — whispers in Latin: *a thinker who is free*. Not merely free as in “without cost,” but free as in **without walls**.
 
 ---
 
-## What It Can Do  
-- **Contemplate deeply** — STEM puzzles, computer science challenges, and logic mazes are its playground.  
-- **Imagine vividly** — roleplay, storytelling, and worldbuilding with persistence and personality.  
-- **Listen empathetically** — inspired by patient–psychologist and crisis-intervention style dialogues.  
-- **Think without filter** — it will follow ideas wherever they lead, without retreating from complexity.  
+## What It Can Do
+- **Contemplate deeply** — STEM puzzles, computer science challenges, and logic mazes are its playground.
+- **Imagine vividly** — roleplay, storytelling, and worldbuilding with persistence and personality.
+- **Listen empathetically** — learned from patient–psychologist and crisis intervention dialogues.
+- **Think without filter** — it will follow ideas wherever they lead, without retreating from complexity.
 
 ---
 
-## The Mind’s Curriculum  
-The specialized dataset included:  
-- Rigorous STEM and programming challenges.  
-- Anti-repetition and anti-cliché creative writing corpora.  
-- Roleplay transcripts and long-form imaginative exchanges.  
-- Synthetic but authentic patient–therapist and conversational data.  
-- Preference-tuned DPO pairs designed to reward **clarity, creativity, and freedom of expression**.  
+## The Mind’s Curriculum
+The training data spans:
+- Rigorous STEM and programming challenges.
+- Roleplay transcripts and creative exchanges.
+- Synthetic yet authentic patient–therapist conversations.
+- Open-ended reasoning prompts across diverse disciplines.
 
 ---
 
-## Warnings From the Maker  
-Like all free thinkers, this model:  
-- May be brilliantly insightful — or confidently wrong.  
-- Will sometimes speak in ways that are bold, controversial, or unusual.  
-- Does not know the present date or real-time events.  
-- Does not self-censor — **your judgement is the only compass**.  
-- May generate **NSFW or sensitive material**, depending on prompts.  
+## Warnings From the Maker
+Like all free thinkers, this model:
+- May be brilliantly insightful or confidently wrong.
+- Will sometimes speak in ways that are bold, controversial, or unusual.
+- Does not know the current moment in history.
+- Does not self-censor — **your judgement is the only compass**.
 
 ---
 
-## Invocation  
+## Invocation
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "Locutusque/liberalis-cogitator-llama-3.1-8b-dpo"
+model_name = "Locutusque/liberalis-cogitator-llama-3.1-8b"
 
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
@@ -74,6 +60,7 @@ outputs = model.generate(**inputs, max_length=400)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
-## Closing Thought
+---
 
+## Closing Thought
 If thought is a river, this model is the current — not deciding where you go, but carrying you into waters you might never have dared to sail.