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README.md

@@ -16,10 +16,7 @@ datasets:
 library_name: mlx-lm
 pipeline_tag: text-generation
 ---
-**Developed By Samiya Kashif, Kashif Salahuddin & Rohan Bhangale & Robert Rojek**
-
-https://huggingface.co/blog/salakash/minimalism
-
+**Developed By Samiya Kashif, Kashif Salahuddin & Rohan Bhangale**
 ## 1. Executive Summary
 
 **Minimalism** is a specialized coding assistant built as a LoRA (Low-Rank Adaptation) adapter for the Qwen2.5-Coder-0.5B-Instruct base model. Unlike generic coding assistants, Minimalism implements a "runnable-first" philosophy: when users request code, responses are structured with clear **Solution**, **Usage**, and **Sanity test** sections, ensuring developers receive immediately executable code with minimal friction.
@@ -82,72 +79,6 @@ Developers need coding assistance that:
 - **Educators** teaching programming with consistent code examples
 - **Researchers** experimenting with LoRA fine-tuning on MLX
 
-# System Architecture
-
-### High-Level Architecture
-
-```
-┌─────────────────────────────────────────────────────────────┐
-│                     Minimalism System                        │
-├─────────────────────────────────────────────────────────────┤
-│                                                              │
-│  ┌──────────────┐      ┌──────────────┐      ┌──────────┐ │
-│  │   Data       │      │   Training   │      │  Serving │ │
-│  │  Pipeline    │─────▶│   Pipeline   │─────▶│  Layer   │ │
-│  └──────────────┘      └──────────────┘      └──────────┘ │
-│         │                      │                     │      │
-│         ▼                      ▼                     ▼      │
-│  ┌──────────────┐      ┌──────────────┐      ┌──────────┐ │
-│  │  Dataset     │      │  LoRA        │      │  MLX     │ │
-│  │  Processing  │      │  Adapter     │      │  Server  │ │
-│  └──────────────┘      └──────────────┘      └──────────┘ │
-│                                                              │
-└─────────────────────────────────────────────────────────────┘
-```
-
-## Technical Architecture
-
-### Method 1 Pipeline (9 Steps)
-
-```
-1. Receive Request
-   ↓
-2. Derive Requirements + Tests
-   ↓
-3. Generate N Candidates
-   ↓
-4. Normalize Code
-   ↓
-5. Score by LoC
-   ↓
-6. Apply Quality Gates (G1-G5)
-   ↓
-7. Select Minimal Passing
-   ↓
-8. Optional Reduction Loop
-   ↓
-9. Output + Audit
-```
-
-### Quality Gates
-
-- **G1 Compile**: Python syntax validation
-- **G2 Constraints**: Dependency checking
-- **G3 Execution**: Sandbox smoke test (2s timeout)
-- **G4 Tests**: Acceptance test validation
-- **G5 Safety**: Dangerous operation detection
-
-![image](https://cdn-uploads.huggingface.co/production/uploads/6903f5738b82cf1035f9a011/l9sRbieUQyxzWY4ekMyYJ.png)
-
-### Key Design Principles
-
-1. **Text-based analysis** (no AST as required)
-2. **Fail-fast validation** (stop on first gate failure)
-3. **Sandbox isolation** (subprocess with timeout)
-4. **Complete audit trail** (every decision logged)
-5. **Pluggable architecture** (easy to extend)
-
-
 
 
 ## Quick Start

adapter_config.json

@@ -1,40 +1,37 @@
 {
-    "adapter_path": "outputs/adapters/dev",
-    "batch_size": 4,
-    "config": null,
-    "data": "data/training_ready",
-    "fine_tune_type": "lora",
-    "grad_accumulation_steps": 1,
-    "grad_checkpoint": false,
-    "iters": 100,
-    "learning_rate": 2e-05,
-    "lora_parameters": {
-        "rank": 8,
-        "dropout": 0.0,
-        "scale": 20.0
-    },
-    "lr_schedule": null,
-    "mask_prompt": false,
-    "max_seq_length": 2048,
-    "model": "mlx-community/Qwen2.5-Coder-0.5B-Instruct-4bit",
-    "num_layers": 16,
-    "optimizer": "adam",
-    "optimizer_config": {
-        "adam": {},
-        "adamw": {},
-        "muon": {},
-        "sgd": {},
-        "adafactor": {}
-    },
-    "project_name": null,
-    "report_to": null,
-    "resume_adapter_file": null,
-    "save_every": 100,
-    "seed": 0,
-    "steps_per_eval": 200,
-    "steps_per_report": 10,
-    "test": false,
-    "test_batches": 500,
-    "train": true,
-    "val_batches": 25
+  "batch_size": 4,
+  "config": null,
+  "fine_tune_type": "lora",
+  "grad_accumulation_steps": 1,
+  "grad_checkpoint": false,
+  "iters": 100,
+  "learning_rate": 2e-05,
+  "lora_parameters": {
+    "rank": 8,
+    "dropout": 0.0,
+    "scale": 20.0
+  },
+  "lr_schedule": null,
+  "mask_prompt": false,
+  "max_seq_length": 2048,
+  "model": "mlx-community/Qwen2.5-Coder-0.5B-Instruct-4bit",
+  "num_layers": 16,
+  "optimizer": "adam",
+  "optimizer_config": {
+    "adam": {},
+    "adamw": {},
+    "muon": {},
+    "sgd": {},
+    "adafactor": {}
+  },
+  "project_name": null,
+  "report_to": null,
+  "save_every": 100,
+  "seed": 0,
+  "steps_per_eval": 200,
+  "steps_per_report": 10,
+  "test": false,
+  "test_batches": 500,
+  "train": true,
+  "val_batches": 25
 }