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----
-license: other
-language:
-- en
-- zh
-library_name: transformers
-pipeline_tag: text-generation
-tags:
-- reasoning
-- mathematics
-- programming
-- creative-writing
-- chain-of-thought
----
-
-# Brello Thinking
-
-## Model Description
-
-**Brello Thinking** is an advanced language model created by **Epic Systems** and engineered by **Rehan Temkar**. Built on the robust Tencent Hunyuan base model, Brello Thinking specializes in deep reasoning, mathematical problem-solving, coding, and creative thinking with enhanced chain-of-thought capabilities.
-
-### Key Features
-
-- **🧠 Advanced Reasoning**: Enhanced chain-of-thought capabilities with both fast and slow thinking modes
-- **🔢 Mathematical Excellence**: Superior performance in mathematical problem-solving and computation
-- **💻 Programming Prowess**: Strong coding capabilities across multiple programming languages
-- **📚 Long Context Understanding**: Supports extended conversations and document analysis
-- **🎯 Creative Problem Solving**: Innovative approaches to complex problems
-- **🌐 Multi-language Support**: Fluent in multiple languages with cultural understanding
-
-## Model Architecture
-
-- **Base Model**: Tencent Hunyuan
-- **Parameters**: 1.8B (optimized for efficiency)
-- **Context Window**: 256K tokens
-- **Architecture**: EpicBrelloV1ForCausalLM
-- **Specialization**: Reasoning, Mathematics, Programming, Creative Thinking
-
-## Model Summary
-
-| Specification | Value |
-|---------------|-------|
-| **Architecture** | EpicBrelloV1ForCausalLM |
-| **Total Parameters** | 1.8B |
-| **Context Window** | 256K tokens |
-| **Hidden Size** | 2048 |
-| **Number of Layers** | 32 |
-| **Number of Attention Heads** | 16 |
-| **Number of Key-Value Heads** | 4 |
-| **Intermediate Size** | 6144 |
-| **Vocabulary Size** | 120,818 |
-| **Activation Function** | SiLU |
-| **Normalization** | RMSNorm |
-| **Position Embedding** | RoPE (Rotary Position Embedding) |
-| **Base Model** | Tencent Hunyuan |
-| **Creator** | Epic Systems |
-| **Engineer** | Rehan Temkar |
-| **License** | Proprietary - Epic Systems |
-
-## Performance Benchmarks
-
-### Mathematical Reasoning
-- **GSM8K**: 87.49% (Mathematical problem-solving)
-- **MATH**: 72.25% (Advanced mathematics)
-- **AIME 2024**: 78.3% (American Invitational Mathematics Examination)
-- **AIME 2025**: 66.5% (American Invitational Mathematics Examination)
-
-### Programming & Coding
-- **MBPP**: 76.46% (Python programming)
-- **MultiPL-E**: 59.87% (Multi-language programming)
-- **LiveCodeBench**: 49.4% (Live coding evaluation)
-- **FullStackBench**: 54.6% (Full-stack development)
-
-### Reasoning & Problem Solving
-- **BBH**: 75.17% (Big-Bench Hard tasks)
-- **DROP**: 78.2% (Reading comprehension)
-- **ZebraLogic**: 83.5% (Logical reasoning)
-- **CRUX-O**: 56.5% (Complex reasoning)
-
-### Agent & Tool Use
-- **BFCL v3**: 67.9% (Benchmark for Function Calling)
-- **τ-Bench**: 30.3% (Tool use evaluation)
-- **ComplexFuncBench**: 26.3% (Complex function calling)
-- **C3-Bench**: 64.3% (Code comprehension)
-
-### Long Context Understanding
-- **PenguinScrolls**: 83.1% (Long document processing)
-- **LongBench-v2**: 44.1% (Long context evaluation)
-- **FRAMES**: 79.2% (Frame-based reasoning)
-
-## Usage
-
-### Basic Usage
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-# Load Brello Thinking
-model_name = "BrelloES/brello-thinking"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
-
-# Example conversation
-messages = [
-    {"role": "user", "content": "What is 2+2?"}
-]
-
-tokenized_chat = tokenizer.apply_chat_template(
-    messages, 
-    tokenize=True, 
-    add_generation_prompt=True,
-    return_tensors="pt",
-    enable_thinking=True
-)
-
-outputs = model.generate(
-    tokenized_chat.to(model.device), 
-    max_new_tokens=2048,
-    do_sample=True,
-    top_k=20,
-    top_p=0.8,
-    repetition_penalty=1.05,
-    temperature=0.7
-)
-
-response = tokenizer.decode(outputs[0])
-print(response)
-```
-
-### Thinking Mode
-
-Brello Thinking supports enhanced reasoning with thinking mode:
-
-```python
-# Enable thinking mode (default)
-tokenized_chat = tokenizer.apply_chat_template(
-    messages, 
-    enable_thinking=True  # Shows reasoning process
-)
-
-# Disable thinking mode
-tokenized_chat = tokenizer.apply_chat_template(
-    messages, 
-    enable_thinking=False  # Direct answers
-)
-```
-
-### Advanced Usage with System Prompts
-
-```python
-# Custom system prompt for Brello Thinking
-system_prompt = """You are Brello Thinking, an advanced AI assistant created by Epic Systems and engineered by Rehan Temkar. You are built on the Tencent Hunyuan base model and specialize in deep reasoning, mathematical problem-solving, coding, and creative thinking. You have enhanced chain-of-thought capabilities and can show your thinking process."""
-
-messages = [
-    {"role": "system", "content": system_prompt},
-    {"role": "user", "content": "Solve this math problem: 2x + 5 = 13"}
-]
-
-tokenized_chat = tokenizer.apply_chat_template(
-    messages, 
-    tokenize=True, 
-    add_generation_prompt=True,
-    return_tensors="pt",
-    enable_thinking=True
-)
-```
-
-## Model Capabilities
-
-### Mathematical Reasoning
-- Complex mathematical problem-solving
-- Step-by-step mathematical proofs
-- Statistical analysis and computation
-- Algebraic and geometric reasoning
-- Calculus and advanced mathematics
-
-### Programming
-- Code generation in multiple languages
-- Debugging and code optimization
-- Algorithm design and implementation
-- Software architecture and design
-- Full-stack development assistance
-
-### Creative Writing
-- Story generation and creative content
-- Technical writing and documentation
-- Poetry and artistic expression
-- Content creation and editing
-- Narrative development
-
-### Problem Solving
-- Logical reasoning and analysis
-- Critical thinking and evaluation
-- Strategic planning and decision-making
-- Complex problem decomposition
-- Solution optimization
-
-### Agent Capabilities
-- Tool use and function calling
-- Multi-step reasoning
-- Task planning and execution
-- Context-aware responses
-- Autonomous problem-solving
-
-## Technical Specifications
-
-### Architecture Details
-- **Model Type**: EpicBrelloV1ForCausalLM
-- **Attention Mechanism**: Grouped Query Attention (GQA)
-- **Position Embedding**: Dynamic RoPE with scaling
-- **Normalization**: RMSNorm with epsilon 1e-05
-- **Activation**: SiLU (Swish)
-- **Quantization**: BF16 precision
-- **Optimization**: Flash Attention support
-
-### Memory and Performance
-- **Model Size**: 1.8B parameters
-- **Memory Usage**: ~3.6GB (BF16)
-- **Inference Speed**: Optimized for real-time interaction
-- **Context Handling**: Up to 256K tokens
-- **Batch Processing**: Supports efficient batching
-
-### Training and Fine-tuning
-- **Base Training**: Tencent Hunyuan foundation
-- **Instruction Tuning**: Enhanced for reasoning tasks
-- **Chain-of-Thought**: Built-in reasoning capabilities
-- **Multi-task Learning**: Optimized for diverse applications
-
-## Deployment
-
-### Local Deployment
-```bash
-# Clone the repository
-git clone https://huggingface.co/BrelloES/brello-thinking
-
-# Install dependencies
-pip install transformers torch accelerate
-
-# Load and run the model
-python run_brello.py
-```
-
-### Cloud Deployment
-```python
-# Using Hugging Face Inference API
-from huggingface_hub import InferenceClient
-
-client = InferenceClient("BrelloES/brello-thinking")
-response = client.text_generation("What is 2+2?", max_new_tokens=100)
-print(response)
-```
-
-### Docker Deployment
-```dockerfile
-FROM pytorch/pytorch:latest
-RUN pip install transformers accelerate
-COPY . /app
-WORKDIR /app
-CMD ["python", "run_brello.py"]
-```
-
-## License
-
-This model is proprietary software created by Epic Systems and engineered by Rehan Temkar. All rights reserved.
-
-## Contact
-
-- **Creator**: Epic Systems
-- **Engineer**: Rehan Temkar
-- **Model**: Brello Thinking v1.0.0
-- **Repository**: https://huggingface.co/BrelloES/brello-thinking
-
----
-
-*Brello Thinking - Advanced AI Reasoning by Epic Systems*