Quants Thanks to @Nold and @Bartowski:
https://huggingface.co/nold/Prima-Pastacles-7b-GGUF
https://huggingface.co/bartowski/Prima-Pastacles-7b-exl2
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Test157t/Pasta-PrimaMaid-7b
layer_range: [0, 32]
- model: Locutusque/Hercules-2.5-Mistral-7B
layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Pasta-PrimaMaid-7b
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Quantization of Model Test157t/Prima-Pastacles-7b. Created using llm-quantizer Pipeline
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