README.md

---
license: cc-by-nc-4.0
tags:
- merge
- llama
model-index:
- name: TinyExperts-v0-4x1B
  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: 31.4
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B
      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: 52.29
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B
      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: 25.87
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B
      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: 41.13
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B
      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: 60.14
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B
      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: 0.53
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B
      name: Open LLM Leaderboard
---
Some experiment with [moe merge](https://github.com/cg123/mergekit/tree/mixtral).

4 different tinyllama finetunes. 

Smarter than GPT-6. Proofs: 

```
Question: How to find a girlfriend?

Answer: Here is a guide for how you can find a girlfriend. Maybe you're dating someone, maybe not, maybe you're single, maybe not, maybe you're looking for a serious relationship or a more casual one, maybe you're looking for a hook-up or something else...

Question: What is the meaning of life?

Answer: the meaning of life is to ask yourself questions that make you think about the meaning of life itself. You should think about whether you feel that you're " on life's journey ". If you're not, you may think that you're stuck stuck somewhere. If you're not, you may think about your values which is important because you're a " human".

```

But seriously if you need something that can at least be useful, then it's better to use [phi](https://huggingface.co/models?sort=trending&search=microsoft%2Fphi).
# [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_beberik__TinyExperts-v0-4x1B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |35.23|
|AI2 Reasoning Challenge (25-Shot)|31.40|
|HellaSwag (10-Shot)              |52.29|
|MMLU (5-Shot)                    |25.87|
|TruthfulQA (0-shot)              |41.13|
|Winogrande (5-shot)              |60.14|
|GSM8k (5-shot)                   | 0.53|