MaziyarPanahi/TheTop-7B-DPO-S2-v0.2

Merge of top 7B models with SLERP method.

mergekit is a toolkit for merging pre-trained language models. mergekit uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming as they catch my attention.

Downloads last month: 16

Safetensors

Model size

7.24B params

Tensor type

BF16

Inference Examples

Text Generation

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for MaziyarPanahi/TheTop-7B-DPO-S2-v0.2

Quantizations

2 models

Collection including MaziyarPanahi/TheTop-7B-DPO-S2-v0.2

Merges

Collection

Experimental LLM merging • 1292 items • Updated 4 days ago • 7