README.md

---
license: llama3.1
library_name: transformers
tags:
- moe
- frankenmoe
- merge
- mergekit
base_model:
- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
model-index:
- name: L3.1-Moe-2x8B-v0.2
  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: 73.48
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-2x8B-v0.2
      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: 32.95
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-2x8B-v0.2
      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: 15.26
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-2x8B-v0.2
      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: 6.71
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-2x8B-v0.2
      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: 11.38
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-2x8B-v0.2
      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: 31.76
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-2x8B-v0.2
      name: Open LLM Leaderboard
---

# L3.1-Moe-2x8B-v0.2

![cover](https://github.com/moeru-ai/L3.1-Moe/blob/main/cover/v0.2.png?raw=true)

This model is a Mixture of Experts (MoE) made with mergekit-moe. It uses the following base models:

- [Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base](https://huggingface.co/Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base)
- [ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2)

Heavily inspired by [mlabonne/Beyonder-4x7B-v3](https://huggingface.co/mlabonne/Beyonder-4x7B-v3).

## Quantized models

### GGUF by [mradermacher](https://huggingface.co/mradermacher)

- [mradermacher/L3.1-Moe-2x8B-v0.2-i1-GGUF](https://huggingface.co/mradermacher/L3.1-Moe-2x8B-v0.2-i1-GGUF)
- [mradermacher/L3.1-Moe-2x8B-v0.2-GGUF](https://huggingface.co/mradermacher/L3.1-Moe-2x8B-v0.2-GGUF)

## Mergekit config

<details>
  <summary>mergekit_moe_config.yml</summary>
  
```yaml
base_model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
gate_mode: hidden
dtype: bfloat16
experts:
  - source_model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
    positive_prompts: &common_prompts
      - "chat"
      - "assistant"
      - "tell me"
      - "explain"
      - "I want"
      - "code"
      - "python"
      - "javascript"
      - "programming"
      - "algorithm"
      - "reason"
      - "math"
      - "mathematics"
      - "solve"
      - "count"
    negative_prompts: &rp_prompts
      - "storywriting"
      - "write"
      - "scene"
      - "story"
      - "character"
  - source_model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
    positive_prompts: *rp_prompts
    negative_prompts: *common_prompts
```

</details>

# [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_moeru-ai__L3.1-Moe-2x8B-v0.2)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |28.59|
|IFEval (0-Shot)    |73.48|
|BBH (3-Shot)       |32.95|
|MATH Lvl 5 (4-Shot)|15.26|
|GPQA (0-shot)      | 6.71|
|MuSR (0-shot)      |11.38|
|MMLU-PRO (5-shot)  |31.76|