This model is a merge of 80% starchatplus_beta and 20% wizardcoder.
It is intended as a research tool into merging and routing of experts.
"multiple-py": { "pass@1": 0.36645962732919257 }
- this is just using a .1 sample of the eval for test purposes *
- hf-causal (pretrained=Multi-Domain-Expert-Layers/scorpius_16b,dtype=bfloat16), limit: 0.1, provide_description: False, num_fewshot: 0, batch_size: None | Task |Version| Metric | Value | |Stderr|
|-------------------------------------------------|------:|-----------|------:|---|-----:| |arc_challenge | 0|acc | 0.4103|± |0.0457| | | |acc_norm | 0.4103|± |0.0457| |arc_easy | 0|acc | 0.7350|± |0.0410| | | |acc_norm | 0.6923|± |0.0429| |hellaswag | 0|acc | 0.5812|± |0.0458| | | |acc_norm | 0.7778|± |0.0386|
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