---
library_name: transformers
datasets:
- schneewolflabs/Denker-SFT
base_model:
- nbeerbower/Schreiber-mistral-nemo-12B
---

# Denker-test2-12B

Testing Merlina with no tokenizer changes.

## Training Configuration

| Parameter | Value |
|-----------|-------|
| Training Mode | SFT |
| Base Model | `nbeerbower/Schreiber-mistral-nemo-12B` |
| Learning Rate | 9e-05 |
| Epochs | 1 |
| Batch Size | 1 |
| Gradient Accumulation | 16 |
| Effective Batch Size | 16 |
| Max Sequence Length | 4096 |
| Optimizer | paged_adamw_8bit |
| LR Scheduler | cosine |
| Warmup Ratio | 0.05 |
| Weight Decay | 0.01 |
| Max Grad Norm | 0.25 |
| Seed | 42 |
| LoRA Rank (r) | 128 |
| LoRA Alpha | 256 |
| LoRA Dropout | 0.05 |
| Target Modules | up_proj, down_proj, gate_proj, k_proj, q_proj, v_proj, o_proj |
| Quantization | 4-bit (NF4) |
| GPU | NVIDIA RTX A6000 |

---

![Trained with Merlina](https://raw.githubusercontent.com/Schneewolf-Labs/Merlina/refs/heads/main/frontend/madewithmerlina_smol.png)

[Merlina on GitHub](https://github.com/Schneewolf-Labs/Merlina)