README.md

---
license: mit
tags:
- mergekit
- merge
base_model:
- meta-llama/Llama-2-70b-hf
- codellama/CodeLlama-70b-Python-hf
- codellama/CodeLlama-70b-Instruct-hf
model-index:
- name: code-llama-70b-python-instruct
  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: 29.61
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NobodyExistsOnTheInternet/code-llama-70b-python-instruct
      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: 25.66
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NobodyExistsOnTheInternet/code-llama-70b-python-instruct
      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: 23.5
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NobodyExistsOnTheInternet/code-llama-70b-python-instruct
      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: 49.26
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NobodyExistsOnTheInternet/code-llama-70b-python-instruct
      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: 49.25
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NobodyExistsOnTheInternet/code-llama-70b-python-instruct
      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: 0.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NobodyExistsOnTheInternet/code-llama-70b-python-instruct
      name: Open LLM Leaderboard
---
# Codellama-python-instruct

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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Llama-2-70b-hf](https://huggingface.co/meta-llama/Llama-2-70b-hf) as a base.

### Models Merged

The following models were included in the merge:
* [codellama/CodeLlama-70b-Python-hf](https://huggingface.co/codellama/CodeLlama-70b-Python-hf)
* [codellama/CodeLlama-70b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: codellama/CodeLlama-70b-Python-hf
    parameters:
      density: 0.5
      weight: 0.5
  - model: codellama/CodeLlama-70b-Instruct-hf
    parameters:
      density: 0.5
      weight: 1.0
merge_method: dare_ties
base_model: meta-llama/Llama-2-70b-hf
parameters:
  # You can uncomment and set these parameters as needed
  # normalize: false
  # int8_mask: true
dtype: float16

```
# [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_NobodyExistsOnTheInternet__code-llama-70b-python-instruct)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |29.55|
|AI2 Reasoning Challenge (25-Shot)|29.61|
|HellaSwag (10-Shot)              |25.66|
|MMLU (5-Shot)                    |23.50|
|TruthfulQA (0-shot)              |49.26|
|Winogrande (5-shot)              |49.25|
|GSM8k (5-shot)                   | 0.00|