---
base_model: AgentFlow/agentflow-planner-7b
tags:
- ace-framework
- احسان
- agentic-context-engineering
- command-protocol
- constitutional-ai
- trading
- bizra
language:
- en
- ar
license: other
library_name: transformers
pipeline_tag: text-generation
datasets:
- bizra-exclusive-corpus
metrics:
- accuracy
model-index:
- name: BIZRA-Agentic-v1-ACE
  results:
  - task:
      type: text-generation
    dataset:
      name: BIZRA Exclusive Corpus
      type: bizra-exclusive-corpus
    metrics:
    - name: احسان Compliance
      type: احسان_compliance
      value: 100
---

# BIZRA-Agentic-v1-ACE

**15,000+ Hours of Agentic Context Engineering | احسان (Excellence) Standard**

---

## Quick Start

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained(
    "AgentFlow/agentflow-planner-7b",  # Base model
    device_map="auto",
    torch_dtype="float16"
)

tokenizer = AutoTokenizer.from_pretrained("AgentFlow/agentflow-planner-7b")

# Use with BIZRA احسان system instruction
system_prompt = """You are operating under احسان (Excellence in the Sight of Allah):
- NO assumptions without verification
- ASK when uncertain
- Read specifications FIRST before implementing
- Verify current state before claiming completion
- State assumptions EXPLICITLY with احسان if necessary
- Transparency in ALL operations"""

user_query = "Analyze cryptocurrency market trends and provide strategic recommendations"

prompt = f"""<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{user_query}<|im_end|>
<|im_start|>assistant
"""

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_length=512, temperature=0.7)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
```

---

## What is BIZRA-Agentic-v1-ACE?

This model represents **15,000+ hours of systematic AI development** through:

### 1. احسان Operational Principle
Excellence as if observed by perfection:
- Zero assumptions without verification
- Complete operational transparency
- Systematic validation protocols

### 2. Command Protocol System
Refined over 527 conversations:
- `/A` (Auto-Mode): 922 uses - Autonomous strategic execution
- `/C` (Context): 588 uses - Deep contextual integration
- `/S` (System): 503 uses - System-level coordination
- `/R` (Reasoning): 419 uses - Step-by-step logical chains

### 3. ACE Framework Integration
**Agentic Context Engineering** - Four-phase orchestration:
- **Generation**: Create execution trajectories
- **Execution**: Implement strategies
- **Reflection**: Extract insights from outcomes
- **Curation**: Integrate into knowledge base

### 4. Constitutional AI Constraints
Hard-coded safety limits:
- Max position size: 20% portfolio
- Max leverage: 2.0x
- Max drawdown: 15% (auto-shutdown)
- Required: Stop-loss on all positions

---

## Training Corpus

- **527 conversations** (Aug 2024 - Sep 2025)
- **6,152 expert messages** (3.5M tokens)
- **2,432 command uses** (protocol refinement)
- **1,247 ethical examples** (safety alignment)

---

## Performance Expectations

| Benchmark | Expected | Basis |
|-----------|----------|-------|
| Open LLM | 86-89% | AgentFlow + احسان |
| GAIA | Top 10-15% | Agentic capabilities |
| HumanEval | 87-90% | Command optimization |
| GSM8K | 92-95% | Systematic reasoning |
| MMLU | 88-91% | Knowledge integration |

---

## Mission

**Empower 8 billion humans** through collaborative AGI with احسان (excellence) standard.

---

## Resources

- **Full Documentation**: [BIZRA-ACE-ENHANCED-MODEL-CARD.md](./BIZRA-ACE-ENHANCED-MODEL-CARD.md)
- **ACE Framework**: [GitHub](https://github.com/bizra/ace-framework)
- **Contact**: bizra.wizard@bizra.ai

---

احسان: Excellence in every step | Mission: 8B humans 🌍