DropLychee 1.2
Fine-tuned model based on Qwen3.6-27B (LoRA fine-tune, 500 steps).
Evaluation
Evaluated using lm-evaluation-harness on 2026-07-12.
| Benchmark | Score |
|---|---|
| GPQA Diamond (0-shot) | 42.0% (acc_norm) |
| MMLU-Pro (5-shot) | 64.0% (exact_match) |
Total evaluation time: ~2.3 hours on RTX PRO 6000 Blackwell (96GB).
Usage
```python from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained( model_name="droplychee/DropLychee-1.2", max_seq_length=2048, dtype=None, load_in_4bit=False, ) FastLanguageModel.for_inference(model) ```
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Base model
Qwen/Qwen3.6-27BEvaluation results
- accuracy (normalized) on GPQA Diamondself-reported42.000
- exact match on MMLU-Proself-reported64.000