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

Trained with Merlina

Merlina on GitHub

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