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RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-8bits
Inv_-_Konstanta-V4-Alpha-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
4
24% of all-time downloads
All-time downloads
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7.2B
7.5 GB on disk
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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.
Konstanta-V4-Alpha-7B - bnb 8bits
base_model:
This is a merge of pre-trained language models created using mergekit.
Alright, so, this model seems to be REALLY good. Konstanta-7B is pretty good either, but this one is still marginally better.
This model was merged using the DARE TIES merge method using Inv/Konstanta-7B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
merge_method: dare_ties
dtype: bfloat16
parameters:
int8_mask: true
base_model: Inv/Konstanta-7B
models:
- model: Inv/Konstanta-7B
- model: KatyTheCutie/LemonadeRP-4.5.3
parameters:
density: 0.65
weight: [0.65, 0.40, 0.35, 0.30, 0.35, 0.40, 0.25]
- model: senseable/WestLake-7B-v2
parameters:
density: 0.85
weight: [0.25, 0.40, 0.35, 0.30, 0.35, 0.40, 0.65]