library_name: transformers
tags:
- merlina
- grimoire
- text-generation
- kto
datasets: - schneewolflabs/Athanorlite-DPO
base_model: - huihui-ai/Huihui-Qwen3.5-9B-abliterated
Huihui-Qwen3.5-9B-abliterated-Grimoire-KTO
Testing grimore's KTO implementation.
Learning rate was too high on this and the resulting model is unusable.
Training Configuration
| Parameter | Value |
|---|---|
| Training Mode | KTO |
| Base Model | huihui-ai/Huihui-Qwen3.5-9B-abliterated |
| Learning Rate | 9e-05 |
| Epochs | 1 |
| Batch Size | 1 |
| Gradient Accumulation | 32 |
| Effective Batch Size | 32 |
| Max Sequence Length | 2048 |
| Optimizer | paged_adamw_8bit |
| LR Scheduler | cosine |
| Warmup Ratio | 0.05 |
| Weight Decay | 0.01 |
| Max Grad Norm | 0.25 |
| Seed | 42 |
| Beta | 0.1 |
| Max Prompt Length | 1024 |
| LoRA Rank (r) | 128 |
| LoRA Alpha | 64 |
| LoRA Dropout | 0.05 |
| Target Modules | k_proj, o_proj, q_proj, v_proj, down_proj, gate_proj, up_proj |
| Quantization | 4-bit (NF4) |
| GPU | NVIDIA RTX A6000 |
