---
license: llama3
library_name: transformers
tags:
- mergekit
- merge
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: Llama-3-15B-Instruct-zeroed
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 61.69
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=elinas/Llama-3-15B-Instruct-zeroed
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 78.64
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=elinas/Llama-3-15B-Instruct-zeroed
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 67.97
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=elinas/Llama-3-15B-Instruct-zeroed
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 52.46
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=elinas/Llama-3-15B-Instruct-zeroed
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 74.98
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=elinas/Llama-3-15B-Instruct-zeroed
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 70.74
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=elinas/Llama-3-15B-Instruct-zeroed
      name: Open LLM Leaderboard
---
# Llama-3-15B-Instruct-zeroed

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the passthrough merge method while zeroing `o_proj` and `down_proj` which led to an decrease in perplexity (good)
compared to similar 15B merges. This was a recommendation from [Charles Goddard](https://huggingface.co/chargoddard) - thank you for sharing the method of merging as well as Toasty
Pigeon for bringing it to my attention!

## Finetuned Version
A finetuned version of this model can be found at [elinas/Llama-3-15B-Instruct-zeroed-ft](https://huggingface.co/elinas/Llama-3-15B-Instruct-zeroed-ft) which seems to improve performance.

### Models Merged

The following models were included in the merge:
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 24]
    model: meta-llama/Meta-Llama-3-8B-Instruct
- sources:
  - layer_range: [8, 24]
    model: meta-llama/Meta-Llama-3-8B-Instruct
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [8, 24]
    model: meta-llama/Meta-Llama-3-8B-Instruct
    parameters:
      scale:
      - filter: o_proj
        value: 0.0
      - filter: down_proj
        value: 0.0
      - value: 1.0
- sources:
  - layer_range: [24, 32]
    model: meta-llama/Meta-Llama-3-8B-Instruct
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_elinas__Llama-3-15B-Instruct-zeroed)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |67.75|
|AI2 Reasoning Challenge (25-Shot)|61.69|
|HellaSwag (10-Shot)              |78.64|
|MMLU (5-Shot)                    |67.97|
|TruthfulQA (0-shot)              |52.46|
|Winogrande (5-shot)              |74.98|
|GSM8k (5-shot)                   |70.74|