README.md

---
license: apache-2.0
tags:
- moe
model-index:
- name: MixTAO-7Bx2-MoE-Instruct-v7.0
  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: 74.23
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0
      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: 89.37
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0
      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: 64.54
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0
      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: 74.26
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0
      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: 87.77
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0
      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: 69.14
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0
      name: Open LLM Leaderboard
---

# MixTAO-7Bx2-MoE-Instruct

MixTAO-7Bx2-MoE-Instruct is a Mixure of Experts (MoE).

## 💻 Usage

### text-generation-webui - Model Tab
![Model Tab](https://huggingface.co/zhengr/text-generation-webui/resolve/main/text-generation-webui-003.png "Model Tab")

### Chat template
```
{%- for message in messages %}
    {%- if message['role'] == 'system' -%}
        {{- message['content'] + '\n\n' -}}
    {%- else -%}
        {%- if message['role'] == 'user' -%}
            {{- name1 + ': ' + message['content'] + '\n'-}}
        {%- else -%}
            {{- name2 + ': ' + message['content'] + '\n' -}}
        {%- endif -%}
    {%- endif -%}
{%- endfor -%}
```

### Instruction template ：Alpaca 
#### Change this according to the model/LoRA that you are using. Used in instruct and chat-instruct modes.
```
{%- set ns = namespace(found=false) -%}
{%- for message in messages -%}
    {%- if message['role'] == 'system' -%}
        {%- set ns.found = true -%}
    {%- endif -%}
{%- endfor -%}
{%- if not ns.found -%}
    {{- '' + 'Below is an instruction that describes a task. Write a response that appropriately completes the request.' + '\n\n' -}}
{%- endif %}
{%- for message in messages %}
    {%- if message['role'] == 'system' -%}
        {{- '' + message['content'] + '\n\n' -}}
    {%- else -%}
        {%- if message['role'] == 'user' -%}
            {{-'### Instruction:\n' + message['content'] + '\n\n'-}}
        {%- else -%}
            {{-'### Response:\n' + message['content'] + '\n\n' -}}
        {%- endif -%}
    {%- endif -%}
{%- endfor -%}
{%- if add_generation_prompt -%}
    {{-'### Response:\n'-}}
{%- endif -%}
```
# [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_zhengr__MixTAO-7Bx2-MoE-Instruct-v7.0)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |76.55|
|AI2 Reasoning Challenge (25-Shot)|74.23|
|HellaSwag (10-Shot)              |89.37|
|MMLU (5-Shot)                    |64.54|
|TruthfulQA (0-shot)              |74.26|
|Winogrande (5-shot)              |87.77|
|GSM8k (5-shot)                   |69.14|