This repo contains select GGUF quants of a merge of pre-trained language models created using
mergekit.
Although none of the components of this merge were trained for roleplay nor intended for it, the model can be used effectively in that role.
Tested with temperature 1 and minP 0.01. This model leans toward being creative, so adjust temperature upward or downward as desired.
There are initial format consistency issues with the merged model, but this can be mitigated in an Instruct prompt. Additionally, promptsteering was employed to vary the text generation output to avoid some of the common failings observed during text generation with Llama 3 8B models. The complete Instruct prompt used during testing is available below.
Built with Meta Llama 3.
1base_model: grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
2dtype: bfloat16
3merge_method: task_arithmetic
4parameters:
5 normalize: false
6slices:
7- sources:
8 - layer_range: [0, 32]
9 model: grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
10 - layer_range: [0, 32]
11 model: tokyotech-llm/Llama-3-Swallow-8B-Instruct-v0.1
12 parameters:
13 weight: 0.1
14