metadata
license: apache-2.0
Model mera-mix-4x7B
This is a mixture of experts (MoE) model that is half as large (4 experts instead of 8) as the Mixtral-8x7B while been comparable to it across different benchmarks. You can use it as a drop in replacement for your Mixtral-8x7B and get much faster inference.
mera-mix-4x7B achieves 76.37 on the openLLM eval v/s 72.7 by Mixtral-8x7B (as shown here).
You can try the model with the Mera Mixture Chat.
OpenLLM Eval
| Model | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | Average |
|---|---|---|---|---|---|---|---|
| mera-mix-4x7B | 72.01 | 88.82 | 63.67 | 77.45 | 84.61 | 71.65 | 76.37 |
Raw eval results are available at this gist