File size: 3,485 Bytes
d0b06c8 | 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 | # 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.
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## 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 |
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## Changelog / Training Timeline
*Auto-updated by train_v12.py on every checkpoint save.*
*Append-only — entries never overwritten. HuggingFace commit history provides timestamps.*
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### 🔵 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
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