README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - bluuwhale/L3-SAO-MIX-8B-V1
  - Sao10K/L3-8B-Niitama-v1
  - Sao10K/L3-8B-Lunaris-v1
  - Sao10K/L3-8B-Tamamo-v1
  - Sao10K/L3-8B-Stheno-v3.2

QuantFactory/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc-GGUF

This is quantized version of Casual-Autopsy/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc created using llama.cpp

Original Model Card

L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc

This is a remerge of bluuwhale's merger using the exact yaml config with the only difference being that merge calculations are done in fp32 instead of bfp16

I've done this since I'm planning to use this for another merger, but you can use as is if you wish.

Merge Details

Merge Method

This model was merged using the della merge method using Sao10K/L3-8B-Niitama-v1 as a base.

Models Merged

The following models were included in the merge:

• Sao10K/L3-8B-Lunaris-v1
• Sao10K/L3-8B-Stheno-v3.2
• Sao10K/L3-8B-Tamamo-v1

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Sao10K/L3-8B-Lunaris-v1
    parameters:
      weight: 1.0
  - model: Sao10K/L3-8B-Stheno-v3.2
    parameters:
      weight: 1.0
  - model: Sao10K/L3-8B-Niitama-v1
    parameters:
      weight: 1.0
  - model: Sao10K/L3-8B-Tamamo-v1
    parameters:
      weight: 1.0
base_model: Sao10K/L3-8B-Niitama-v1
merge_method: della
dtype: float32
out_dtype: bfloat16