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RichardErkhov/jambroz_-_FNCARLplus-7b-8bits
jambroz_-_FNCARLplus-7b-8bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
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.safetensors7.5 GB · 100%
How the weights are stored.
I87B · 96%
From the Hugging Face model README
Quantization made by Richard Erkhov.
FNCARLplus-7b - bnb 8bits
base_model:
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DARE TIES merge method using jambroz/sixtyoneeighty-7b as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: jambroz/sixtyoneeighty-7b
dtype: bfloat16
merge_method: dare_ties
models:
- model: jambroz/sixtyoneeighty-7b
- model: mlabonne/UltraMerge-7B
parameters:
density: '0.53'
weight: '0.4'
- model: HuggingFaceH4/mistral-7b-anthropic
parameters:
density: '0.53'
weight: '0.3'
- model: jambroz/FNCARL-7b
parameters:
density: '0.53'
weight: '0.3'
parameters:
int8_mask: true