checkpoint-29513 | step 29513 | loss 0.2475 | 78.7% complete

checkpoint-29513/README.md

@@ -0,0 +1,147 @@
+# ScriptSwiftAI (Dikshan)
+
+> A QLoRA fine-tuned code generation model built and owned by **Dikshan** (India).  
+> Specializes in generating clean, production-ready code across multiple languages and frameworks.
+
+---
+
+## License
+
+This model is licensed under **Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)**.
+
+- ✅ You may use, modify, and distribute this model for **personal and research purposes**
+- ✅ You must **credit Dikshan / ScriptSwiftAI** with a link to this repository
+- ✅ You must **state any changes** you made
+- ❌ You may **NOT** use this model or any derivative for **commercial purposes**
+- ❌ You may **NOT** sell, sublicense, or monetize any product built on this model
+
+Full license: https://creativecommons.org/licenses/by-nc/4.0/
+
+**Copyright © 2026 Dikshan. All rights reserved.**
+
+---
+
+## Model Details
+
+| Property | Value |
+|---|---|
+| **Model Name** | ScriptSwiftAI (Dikshan) |
+| **Base Model** | Qwen2.5-Coder-7B-Instruct |
+| **Fine-tuning Method** | QLoRA (4-bit quantization) |
+| **Training Hardware** | NVIDIA RTX 5070 Ti |
+| **Framework** | Hugging Face Transformers + PEFT |
+| **Target Steps** | ~37,500 (~2.21 epochs) |
+| **Dataset Size** | ~271,689 samples (11 datasets + 1,900 identity QA pairs) |
+| **Developer** | Dikshan (India) |
+| **Training Started** | June 13, 2026 |
+
+---
+
+## What is ScriptSwiftAI?
+
+ScriptSwiftAI is a fine-tuned AI model trained from scratch by Dikshan to generate fast, accurate, and production-ready code. It is trained on a custom curated dataset covering:
+
+- Python, JavaScript, TypeScript, React, Node.js
+- API development, full-stack web apps
+- Code explanation, debugging, and refactoring
+- Custom identity: responds as "ScriptSwiftAI" / "Dikshan" (not as base model)
+
+---
+
+## Training Configuration
+
+- **LoRA Rank:** 64, Alpha: 128
+- **Quantization:** 4-bit (NF4) via bitsandbytes
+- **Optimizer:** paged_adamw_8bit
+- **Batch Size:** 2 (gradient accumulation: 8, effective batch: 16)
+- **Learning Rate:** 2e-4 with cosine scheduler
+- **Max Sequence Length:** 2048 tokens
+- **Warmup Steps:** 100
+- **Checkpointing:** Every 500 steps with UPS auto-resume support
+
+---
+
+## Changelog / Training Timeline
+
+This section tracks every major checkpoint upload as proof of development history.
+All uploads are additionally timestamped via HuggingFace commit history.
+
+---
+
+### 🟢 v0.1 — Training Kickoff
+**Date:** June 13, 2026  
+**Status:** Training started  
+- Base model loaded: Qwen2.5-Coder-7B-Instruct (Apache 2.0)
+- QLoRA configuration finalized
+- Dataset pipeline built: ~271,689 samples across 11 datasets
+- Identity QA pairs injected: 1,900 samples (ScriptSwiftAI / Dikshan persona)
+- Training infrastructure set up: train_v11_monitor.py with live loss monitoring UI
+
+---
+
+### 🟡 v0.2 — Best Loss Checkpoint
+**Date:** June 17, 2026  
+**Checkpoint:** checkpoint-12000  
+**Step:** ~12,000 / 37,500  
+**Loss:** 0.1920 (best recorded)  
+**Status:** Training ongoing  
+- Best performing checkpoint saved
+- Model showing strong code generation capability
+- Identity responses stable (responds as ScriptSwiftAI/Dikshan correctly)
+- Repetition penalty and top_p inference parameters tuned
+
+---
+
+### 🔵 v0.3 — ~77% Training Complete *(Latest)*
+**Date:** June 20, 2026  
+**Checkpoint:** checkpoint-29000 *(update with actual checkpoint number)*  
+**Step:** ~29000+ / 37,500  
+**Loss:** ~0.27–0.32 (normal QLoRA batch variance)  
+**Status:** Training ongoing  
+- First public upload to HuggingFace
+- README and LICENSE added
+- Commercial product stack in development (Desktop + Web app)
+
+---
+
+*This changelog will be updated with every checkpoint upload going forward.*
+
+---
+
+## Intended Use
+
+| Use Case | Allowed? |
+|---|---|
+| Personal coding assistant | ✅ Yes |
+| Research and academic use | ✅ Yes |
+| Open source projects | ✅ Yes (with credit) |
+| Commercial SaaS / products | ❌ No |
+| Reselling or sublicensing | ❌ No |
+
+---
+
+## Credit / Attribution
+
+If you use ScriptSwiftAI in any project, you must include:
+
+> *"Powered by ScriptSwiftAI, developed by Dikshan — https://huggingface.co/Dikshan1234/ScriptSwiftAI"*
+
+---
+
+## Contact
+
+For licensing inquiries or commercial use permissions, contact the developer directly via HuggingFace.
+
+---
+
+*ScriptSwiftAI is an independent AI project developed entirely by Dikshan (India).
+---
+
+### 🔵 Checkpoint — Step 29,513
+**Date:** June 20, 2026 at 23:50 IST
+**Checkpoint:** checkpoint-29513
+**Step:** 29,513 / 37,500 (78.7% complete)
+**Loss:** 0.2475
+**Epoch:** 1.738
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v11_monitor.py

checkpoint-29513/adapter_config.json

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+  "alpha_pattern": {},
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+  "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
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checkpoint-29513/adapter_model.safetensors

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checkpoint-29513/chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

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+  "eos_token": "<|im_end|>",
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