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5157c9d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 | # 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
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