# ScriptSwiftAI v12 (Dikshan) > QLoRA fine-tuned full-stack code generation model by **Dikshan** (India). > Covers Python, Django, Flask, FastAPI, React, Next.js, TypeScript, SQL, Docker. --- ## License **CC BY-NC 4.0** — Non-commercial use only. Must credit Dikshan / ScriptSwiftAI. https://creativecommons.org/licenses/by-nc/4.0/ **Copyright © 2026 Dikshan. All rights reserved.** --- ## Model Details | Property | Value | |---|---| | **Base Model** | Qwen2.5-Coder-7B-Instruct | | **Method** | QLoRA (4-bit, r=64) | | **Hardware** | NVIDIA RTX 5070 Ti 16GB | | **Target Steps** | 40,000 | | **Dataset** | ~450-500k samples (17 datasets) | | **Max Length** | 1536 tokens | | **Developer** | Dikshan (India) | | **Training Started** | June 2026 | --- ## Changelog / Training Timeline *Auto-updated by train_v12.py on every checkpoint save.* *Append-only — entries never overwritten. HuggingFace commit history provides timestamps.* --- ### 🔵 Checkpoint — Step 13 **Date:** June 22, 2026 at 18:44 IST **Checkpoint:** checkpoint-13 **Step:** 13 / 40,000 (0.0% complete) **Loss:** 0.6164 **Epoch:** 0.000 **Zone:** 📚 Learning **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 25 **Date:** June 22, 2026 at 18:50 IST **Checkpoint:** checkpoint-25 **Step:** 25 / 40,000 (0.1% complete) **Loss:** 0.6057 **Epoch:** 0.001 **Zone:** 📚 Learning **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 36 **Date:** June 22, 2026 at 18:58 IST **Checkpoint:** checkpoint-36 **Step:** 36 / 40,000 (0.1% complete) **Loss:** 0.5508 **Epoch:** 0.001 **Zone:** 📚 Learning **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 42 **Date:** June 22, 2026 at 19:08 IST **Checkpoint:** checkpoint-42 **Step:** 42 / 40,000 (0.1% complete) **Loss:** 0.5525 **Epoch:** 0.001 **Zone:** 📚 Learning **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 538 **Date:** June 22, 2026 at 23:38 IST **Checkpoint:** checkpoint-538 **Step:** 538 / 40,000 (1.3% complete) **Loss:** 0.4087 **Epoch:** 0.015 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 1,000 **Date:** June 23, 2026 at 03:05 IST **Checkpoint:** checkpoint-1000 **Step:** 1,000 / 40,000 (2.5% complete) **Loss:** 0.4174 **Epoch:** 0.029 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 1,797 **Date:** June 23, 2026 at 08:26 IST **Checkpoint:** checkpoint-1797 **Step:** 1,797 / 40,000 (4.5% complete) **Loss:** 0.3927 **Epoch:** 0.052 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 2,000 **Date:** June 23, 2026 at 09:52 IST **Checkpoint:** checkpoint-2000 **Step:** 2,000 / 40,000 (5.0% complete) **Loss:** 0.4383 **Epoch:** 0.058 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 3,000 **Date:** June 23, 2026 at 17:35 IST **Checkpoint:** checkpoint-3000 **Step:** 3,000 / 40,000 (7.5% complete) **Loss:** 0.4153 **Epoch:** 0.088 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 3,876 **Date:** June 23, 2026 at 23:40 IST **Checkpoint:** checkpoint-3876 **Step:** 3,876 / 40,000 (9.7% complete) **Loss:** 0.3439 **Epoch:** 0.113 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 4,000 **Date:** June 24, 2026 at 00:54 IST **Checkpoint:** checkpoint-4000 **Step:** 4,000 / 40,000 (10.0% complete) **Loss:** 0.3980 **Epoch:** 0.117 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 5,000 **Date:** June 24, 2026 at 07:38 IST **Checkpoint:** checkpoint-5000 **Step:** 5,000 / 40,000 (12.5% complete) **Loss:** 0.2748 **Epoch:** 0.146 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 6,000 **Date:** June 24, 2026 at 14:22 IST **Checkpoint:** checkpoint-6000 **Step:** 6,000 / 40,000 (15.0% complete) **Loss:** 0.2319 **Epoch:** 0.175 **Zone:** 🎯 Sweet Spot **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 6,326 **Date:** June 24, 2026 at 19:59 IST **Checkpoint:** checkpoint-6326 **Step:** 6,326 / 40,000 (15.8% complete) **Loss:** 0.2695 **Epoch:** 0.185 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 6,739 **Date:** June 24, 2026 at 23:37 IST **Checkpoint:** checkpoint-6739 **Step:** 6,739 / 40,000 (16.8% complete) **Loss:** 0.1934 **Epoch:** 0.197 **Zone:** 🎯 Sweet Spot **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 7,000 **Date:** June 25, 2026 at 02:24 IST **Checkpoint:** checkpoint-7000 **Step:** 7,000 / 40,000 (17.5% complete) **Loss:** 0.1105 **Epoch:** 0.205 **Zone:** ⚠️ Overfit Risk **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 8,000 **Date:** June 25, 2026 at 09:05 IST **Checkpoint:** checkpoint-8000 **Step:** 8,000 / 40,000 (20.0% complete) **Loss:** 0.2105 **Epoch:** 0.234 **Zone:** 🎯 Sweet Spot **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 8,978 **Date:** June 25, 2026 at 15:38 IST **Checkpoint:** checkpoint-8978 **Step:** 8,978 / 40,000 (22.4% complete) **Loss:** 0.3111 **Epoch:** 0.262 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 9,000 **Date:** June 25, 2026 at 15:47 IST **Checkpoint:** checkpoint-9000 **Step:** 9,000 / 40,000 (22.5% complete) **Loss:** 0.3143 **Epoch:** 0.263 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 9,090 **Date:** June 25, 2026 at 16:29 IST **Checkpoint:** checkpoint-9090 **Step:** 9,090 / 40,000 (22.7% complete) **Loss:** 0.3586 **Epoch:** 0.266 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 9,718 **Date:** June 25, 2026 at 21:33 IST **Checkpoint:** checkpoint-9718 **Step:** 9,718 / 40,000 (24.3% complete) **Loss:** 0.2998 **Epoch:** 0.284 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 9,942 **Date:** June 25, 2026 at 23:59 IST **Checkpoint:** checkpoint-9942 **Step:** 9,942 / 40,000 (24.9% complete) **Loss:** 0.2736 **Epoch:** 0.291 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 10,000 **Date:** June 26, 2026 at 00:23 IST **Checkpoint:** checkpoint-10000 **Step:** 10,000 / 40,000 (25.0% complete) **Loss:** 0.2685 **Epoch:** 0.292 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py --- ### 🔵 Checkpoint — Step 11,000 **Date:** June 26, 2026 at 07:17 IST **Checkpoint:** checkpoint-11000 **Step:** 11,000 / 40,000 (27.5% complete) **Loss:** 0.4008 **Epoch:** 0.322 **Zone:** 📈 Good **Status:** Training ongoing — auto-uploaded via train_v12.py