Downloads · 30 days
4
6% of all-time downloads
oceansweep/mera-mix-4x7B-GGUF
mera-mix-4x7B-GGUF is a text generation model from oceansweep. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This is a repo for GGUF quants of mera-mix-4x7B. Currently it holds the FP16 and Q80 items only.
Downloads · 30 days
4
6% of all-time downloads
All-time downloads
70
Public
Repo size
25.7 GB
Likes
0
Public
Click a slice to open those files.
.json1.9 MB · 78%
From the Hugging Face model README
This is a repo for GGUF quants of mera-mix-4x7B. Currently it holds the FP16 and Q8_0 items only.
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](https://huggingface.co/meraGPT/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](https://gist.github.com/codelion/78f88333230801c9bbaa6fc22078d820) -->Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 75.91 |
| AI2 Reasoning Challenge (25-Shot) | 72.95 |
| HellaSwag (10-Shot) | 89.17 |
| MMLU (5-Shot) | 64.44 |
| TruthfulQA (0-shot) | 77.17 |
| Winogrande (5-shot) | 85.64 |
| GSM8k (5-shot) | 66.11 |