---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- meta-llama/Llama-2-7b-hf
- Trelis/Llama-2-7b-chat-hf-function-calling-v3
model-index:
- name: llama2-7b-function-calling-slerp
  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: 55.46
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp
      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: 79.5
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp
      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: 50.32
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp
      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: 40.32
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp
      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: 75.22
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp
      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: 20.39
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aabbhishekk/llama2-7b-function-calling-slerp
      name: Open LLM Leaderboard
---

# llama2-7b-function-calling-slerp

llama2-7b-function-calling-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
* [Trelis/Llama-2-7b-chat-hf-function-calling-v3](https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v3)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: meta-llama/Llama-2-7b-hf
        layer_range: [0, 32]
      - model: Trelis/Llama-2-7b-chat-hf-function-calling-v3
        layer_range: [0, 32]
merge_method: slerp
base_model: meta-llama/Llama-2-7b-hf
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

```
# [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_Aabbhishekk__llama2-7b-function-calling-slerp)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |53.53|
|AI2 Reasoning Challenge (25-Shot)|55.46|
|HellaSwag (10-Shot)              |79.50|
|MMLU (5-Shot)                    |50.32|
|TruthfulQA (0-shot)              |40.32|
|Winogrande (5-shot)              |75.22|
|GSM8k (5-shot)                   |20.39|