ExLlamaV2 quantizations
Collection
All my EXL2 quants here.
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32 items
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Updated
This is an ExLlamaV2 quantized model in 4bpw of mpasila/Mistral-7B-Holodeck-1-Instruct-32k using the default calibration dataset.
This is a merge of pre-trained language models created using mergekit.
Merge script copied from this ichigoberry/pandafish-2-7b-32k.
This model was merged using the DARE TIES merge method using alpindale/Mistral-7B-v0.2-hf as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: alpindale/Mistral-7B-v0.2-hf
# No parameters necessary for base model
- model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
density: 0.53
weight: 0.4
- model: KoboldAI/Mistral-7B-Holodeck-1
parameters:
density: 0.53
weight: 0.4
merge_method: dare_ties
base_model: alpindale/Mistral-7B-v0.2-hf
parameters:
int8_mask: true
dtype: bfloat16