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
🔵 Checkpoint — Step 12,000
Date: June 26, 2026 at 14:10 IST Checkpoint: checkpoint-12000 Step: 12,000 / 40,000 (30.0% complete) Loss: 0.3562 Epoch: 0.351 Zone: 📈 Good Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 12,694
Date: June 26, 2026 at 19:36 IST Checkpoint: checkpoint-12694 Step: 12,694 / 40,000 (31.7% complete) Loss: 0.3882 Epoch: 0.371 Zone: 📈 Good Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 12,793
Date: June 26, 2026 at 20:50 IST Checkpoint: checkpoint-12793 Step: 12,793 / 40,000 (32.0% complete) Loss: 0.2054 Epoch: 0.374 Zone: 🎯 Sweet Spot Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 13,000
Date: June 26, 2026 at 22:14 IST Checkpoint: checkpoint-13000 Step: 13,000 / 40,000 (32.5% complete) Loss: 0.2178 Epoch: 0.380 Zone: 🎯 Sweet Spot Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 14,000
Date: June 27, 2026 at 05:20 IST Checkpoint: checkpoint-14000 Step: 14,000 / 40,000 (35.0% complete) Loss: 0.2634 Epoch: 0.409 Zone: 📈 Good Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 14,769
Date: June 27, 2026 at 10:48 IST Checkpoint: checkpoint-14769 Step: 14,769 / 40,000 (36.9% complete) Loss: 0.1741 Epoch: 0.431 Zone: 🎯 Sweet Spot Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 14,907
Date: June 27, 2026 at 12:34 IST Checkpoint: checkpoint-14907 Step: 14,907 / 40,000 (37.3% complete) Loss: 0.2403 Epoch: 0.436 Zone: 🎯 Sweet Spot Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 15,000
Date: June 27, 2026 at 13:25 IST Checkpoint: checkpoint-15000 Step: 15,000 / 40,000 (37.5% complete) Loss: 0.2500 Epoch: 0.438 Zone: 📈 Good Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 15,176
Date: June 27, 2026 at 16:14 IST Checkpoint: checkpoint-15176 Step: 15,176 / 40,000 (37.9% complete) Loss: 0.1106 Epoch: 0.443 Zone: ⚠️ Overfit Risk Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 15,215
Date: June 27, 2026 at 16:31 IST Checkpoint: checkpoint-15215 Step: 15,215 / 40,000 (38.0% complete) Loss: 0.1262 Epoch: 0.445 Zone: 🎯 Sweet Spot Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 15,743
Date: June 27, 2026 at 20:14 IST Checkpoint: checkpoint-15743 Step: 15,743 / 40,000 (39.4% complete) Loss: 0.1310 Epoch: 0.460 Zone: 🎯 Sweet Spot Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 16,000
Date: June 27, 2026 at 22:07 IST Checkpoint: checkpoint-16000 Step: 16,000 / 40,000 (40.0% complete) Loss: 0.1250 Epoch: 0.468 Zone: 🎯 Sweet Spot Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 16,053
Date: June 27, 2026 at 23:06 IST Checkpoint: checkpoint-16053 Step: 16,053 / 40,000 (40.1% complete) Loss: 0.1144 Epoch: 0.469 Zone: ⚠️ Overfit Risk Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 16,148
Date: June 28, 2026 at 00:24 IST Checkpoint: checkpoint-16148 Step: 16,148 / 40,000 (40.4% complete) Loss: 0.1240 Epoch: 0.472 Zone: 🎯 Sweet Spot Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 17,000
Date: June 28, 2026 at 06:13 IST Checkpoint: checkpoint-17000 Step: 17,000 / 40,000 (42.5% complete) Loss: 0.1117 Epoch: 0.497 Zone: ⚠️ Overfit Risk Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 17,594
Date: June 28, 2026 at 10:16 IST Checkpoint: checkpoint-17594 Step: 17,594 / 40,000 (44.0% complete) Loss: 0.2489 Epoch: 0.514 Zone: 🎯 Sweet Spot Status: Training ongoing — auto-uploaded via train_v12.py
🔵 Checkpoint — Step 18,000
Date: June 28, 2026 at 18:25 IST Checkpoint: checkpoint-18000 Step: 18,000 / 40,000 (45.0% complete) Loss: 0.0850 Epoch: 0.526 Zone: ⚠️ Overfit Risk Status: Training ongoing — auto-uploaded via train_v12.py