merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: prithivMLmods/Taurus-Opus-7B
      layer_range: [0, 4]
  - sources:
    - model: prithivMLmods/Taurus-Opus-7B
      layer_range: [4, 8]
  - sources:
    - model: prithivMLmods/Taurus-Opus-7B
      layer_range: [8, 12]
  - sources:
    - model: prithivMLmods/Taurus-Opus-7B
      layer_range: [12, 16]
  - sources:
    - model: prithivMLmods/Taurus-Opus-7B
      layer_range: [16, 20]
  - sources:
    - model: prithivMLmods/Taurus-Opus-7B
      layer_range: [20, 24]
  - sources:
    - model: prithivMLmods/Taurus-Opus-7B
      layer_range: [24, 28]
merge_method: passthrough
dtype: float16
Downloads last month
11
Safetensors
Model size
7.46B params
Tensor type
FP16
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for Sakalti/SJT-7.5B

Base model

Qwen/Qwen2.5-7B
Finetuned
(2)
this model
Finetunes
1 model
Quantizations
1 model