This is a merge of pre-trained language models created using
mergekit.
I have provided a .gguf Q4_K_M for cpu inference as well.
This repository serves as a learning experience for myself to experiment with merged models & gguf conversions.
This model was merged using the SLERP merge method.
1slices:
2 - sources:
3 - model: OpenPipe/mistral-ft-optimized-1218
4 layer_range: [0, 32]
5 - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
6 layer_range: [0, 32]
7merge_method: slerp
8base_model: OpenPipe/mistral-ft-optimized-1218
9parameters:
10 t:
11 - filter: self_attn
12 value: [0, 0.5, 0.3, 0.7, 1]
13 - filter: mlp
14 value: [1, 0.5, 0.7, 0.3, 0]
15 - value: 0.5
16dtype: bfloat16
