---
language:
- en
license: llama3.1
tags:
- moe
model-index:
- name: L3.1-ClaudeMaid-4x8B
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 66.96
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=xxx777xxxASD/L3.1-ClaudeMaid-4x8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 29.44
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=xxx777xxxASD/L3.1-ClaudeMaid-4x8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 12.84
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=xxx777xxxASD/L3.1-ClaudeMaid-4x8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 5.48
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=xxx777xxxASD/L3.1-ClaudeMaid-4x8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 13.75
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=xxx777xxxASD/L3.1-ClaudeMaid-4x8B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 28.67
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=xxx777xxxASD/L3.1-ClaudeMaid-4x8B
      name: Open LLM Leaderboard
---

<style>
.image-container {
  position: relative;
  display: inline-block;
}

.image-container img {
  display: block;
  border-radius: 10px;
  box-shadow: 0 0 1px rgba(0, 0, 0, 0.3);
}

.image-container::before {
  content: "";
  position: absolute;
  top: 0px;
  left: 20px;
  width: calc(100% - 40px);
  height: calc(100%);
  background-image: url("https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/O0FlWv4L8ZnehOGETw7qt.png");
  background-size: cover;
  filter: blur(10px);
  z-index: -1;
}
</style>
<br>

<div class="image-container">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/O0FlWv4L8ZnehOGETw7qt.png" style="width: 96%; margin: auto;" >
</div>

> [!WARNING]
> [GGUF](https://huggingface.co/collections/xxx777xxxASD/claudemaid-4x8b-66a54c20d608a8c966866a5a)

Experimental RP-oriented MoE

### Llama 3 ClaudeMaid v1.0 4x8B
```
base_model: NeverSleep_Lumimaid-v0.2-8B
gate_mode: random
dtype: bfloat16
experts_per_token: 2
experts:
  - source_model: aifeifei798_DarkIdol-Llama-3.1-8B-Instruct-1.0-Uncensored
  - source_model: Nitral-AI_Sekhmet_Bet-L3.1-8B-v0.2
  - source_model: NeverSleep_Lumimaid-v0.2-8B
  - source_model: Undi95_Meta-Llama-3.1-8B-Claude-bf16
```

## Usage

It seems like 1.71 koboldcpp can't run GGUFs of llama-3.1 MoE models yet, or perhaps im just dumb and messed something up.
If anyone has similar problem - run the model directly from llama.cpp, here's simple [open source GUI(Windows)](https://huggingface.co/xxx777xxxASD/LlamaCpp-Server-Ui) you can use if the console is your worst enemy
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/sTM3GUVMucM_AnIk8iG7H.png)

UPDATE 28.07.2024
Try [this koboldcpp version](https://github.com/Nexesenex/kobold.cpp/releases/tag/v1.71013_b3455%2B9)

## Models used

- [NeverSleep/Lumimaid-v0.2-8B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-8B)
- [Undi95/Meta-Llama-3.1-8B-Claude](https://huggingface.co/Undi95/Meta-Llama-3.1-8B-Claude)
- [Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2](https://huggingface.co/Nitral-AI/Sekhmet_Bet-L3.1-8B-v0.2)
- [aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.0-Uncensored](https://huggingface.co/aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.0-Uncensored)


## Prompt format: Llama 3
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_xxx777xxxASD__L3.1-ClaudeMaid-4x8B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |26.19|
|IFEval (0-Shot)    |66.96|
|BBH (3-Shot)       |29.44|
|MATH Lvl 5 (4-Shot)|12.84|
|GPQA (0-shot)      | 5.48|
|MuSR (0-shot)      |13.75|
|MMLU-PRO (5-shot)  |28.67|