Rombos-LLM-V2.5-Qwen-72b

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Rombos-LLM-V2.5-Qwen-72b is a continues finetuned version of Qwen2.5-72B. I noticed recently that the Qwen team did not learn from my methods of continuous finetuning, the great benefits, and no downsides of it. So I took it upon myself to merge the instruct model with the base model myself using the Ties merge method

This version of the model shows higher performance than the original instruct and base models.

Quants: (Coming soon)

GGUF: https://huggingface.co/bartowski/Replete-LLM-V2.5-Qwen-72b-GGUF

EXL2:

Benchmarks: (Coming soon)

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 45.39
IFEval (0-Shot) 71.55
BBH (3-Shot) 61.27
MATH Lvl 5 (4-Shot) 47.58
GPQA (0-shot) 19.80
MuSR (0-shot) 17.32
MMLU-PRO (5-shot) 54.83
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GGUF
Model size
72.7B params
Architecture
qwen2

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Model tree for mav23/Rombos-LLM-V2.5-Qwen-72b-GGUF

Base model

Qwen/Qwen2.5-72B
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Evaluation results