Edit model card

This is meant for further finetuning, it is iffy as-is. Made using a new structure I call "ripple merge" that works backwards and forwards through the model.

Other frankenmerge methods were failing at sizes over 11b.


Llama-3-15b-Instruct

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: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [0, 15]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [14, 15]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [13, 14]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [12, 13]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [11, 12]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [10, 11]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [9, 10]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [8, 23]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [21, 22]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [20, 21]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [19, 20]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [18, 19]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [17, 18]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [16, 17]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [15, 16]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [14, 15]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [13, 14]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [12, 13]
  - sources:
      - model: NousResearch/Meta-Llama-3-8B-Instruct
        layer_range: [12, 32]

merge_method: passthrough
dtype: float16



Downloads last month
3
Safetensors
Model size
15.4B params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for athirdpath/Llama-3-15b-Instruct

Finetuned
(25)
this model
Quantizations
1 model