Update README.md

README.md

@@ -3,39 +3,39 @@ base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
 library_name: transformers
 license: mit
 language:
-- en
-- pt
+  - en
+  - pt
 metrics:
-- accuracy
-new_version: lambdaindie/lambdai
+  - accuracy
 pipeline_tag: text-generation
 tags:
-- code
-- math
+  - education
+  - logic
+  - math
+  - low-resource
+  - transformers
+  - open-source
+  - causal-lm
+  - lambdaindie
 ---
 
-Arquitetura
+# lambdAI — Lightweight Math & Logic Reasoning Model
 
-Base: TinyLlama-1.1B-Chat
+**lambdAI** is a compact, fine-tuned language model built on top of `TinyLlama-1.1B-Chat-v1.0`, designed for educational reasoning tasks in both Portuguese and English. It focuses on logic, number theory, and mathematics, delivering fast performance with minimal computational requirements.
 
-LoRA: ativado (q_proj, v_proj)
+## Model Architecture
 
-Quantização: 8 bits (bnb_config, com nf4)
+- **Base Model**: TinyLlama-1.1B-Chat
+- **Fine-Tuning Strategy**: LoRA (applied to `q_proj` and `v_proj`)
+- **Quantization**: 8-bit (NF4 via `bnb_config`)
+- **Dataset**: [`HuggingFaceH4/MATH`](https://huggingface.co/datasets/HuggingFaceH4/MATH) — subset: `number_theory`
+- **Max Tokens per Sample**: 512
+- **Batch Size**: 20 per device
+- **Epochs**: 3
 
-Dataset: HuggingFaceH4/MATH - subset number_theory
-
-Tokens: até 512 por amostra
-
-Batch: 20 por device
-
-Epochs: 3
-
-
-
----
-
-Exemplo de uso (Python)
+## Example Usage (Python)
 
+```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 model = AutoModelForCausalLM.from_pretrained("lambdaindie/lambdai")
@@ -43,16 +43,20 @@ tokenizer = AutoTokenizer.from_pretrained("lambdaindie/lambdai")
 
 input_text = "Problema: Prove que 17 é um número primo."
 inputs = tokenizer(input_text, return_tensors="pt")
+
 output = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(output[0], skip_special_tokens=True))```
 
-print(tokenizer.decode(output[0], skip_special_tokens=True))
+About Lambda
 
+Lambda is an indie tech startup founded by Marius Jabami in Angola, focused on AI-driven educational tools, automation, and lightweight software solutions. The lambdAI model is the first release in a planned series of educational LLMs optimized for reasoning, logic, and low-resource deployment.
 
----
+Stay updated on the project at lambdaindie.github.io and huggingface.co/lambdaindie.
 
-Sobre a Lambda
 
-Lambda é uma startup solo fundada por Marius Jabami com foco em soluções educacionais, IA, automação e software independente. Este modelo representa a primeira iteração de uma linha voltada para educação e lógica matemática com LLMs leves.
+---
+
+Developed with care by Marius Jabami — Powered by ambition and open source.
 
+---
 
----