---
license: llama3.1
library_name: transformers
tags:
- moe
- frankenmoe
- merge
- mergekit
base_model:
- argilla-warehouse/Llama-3.1-8B-MagPie-Ultra
- sequelbox/Llama3.1-8B-PlumCode
- sequelbox/Llama3.1-8B-PlumMath
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
model-index:
- name: L3.1-Moe-4x8B-v0.1
  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: 43.47
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-4x8B-v0.1
      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: 27.86
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-4x8B-v0.1
      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: 11.1
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-4x8B-v0.1
      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: 1.23
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-4x8B-v0.1
      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: 3.98
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-4x8B-v0.1
      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: 27.27
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=moeru-ai/L3.1-Moe-4x8B-v0.1
      name: Open LLM Leaderboard
---

# L3.1-Moe-4x8B-v0.1

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

This model is a Mixture of Experts (MoE) made with [mergekit-moe](https://github.com/arcee-ai/mergekit/blob/main/docs/moe.md). It uses the following base models:

- [argilla-warehouse/Llama-3.1-8B-MagPie-Ultra](https://huggingface.co/argilla-warehouse/Llama-3.1-8B-MagPie-Ultra)
- [sequelbox/Llama3.1-8B-PlumCode](https://huggingface.co/sequelbox/Llama3.1-8B-PlumCode)
- [sequelbox/Llama3.1-8B-PlumMath](https://huggingface.co/sequelbox/Llama3.1-8B-PlumMath)
- [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-4x8B-v0.1-i1-GGUF](https://huggingface.co/mradermacher/L3.1-Moe-4x8B-v0.1-i1-GGUF)
- [mradermacher/L3.1-Moe-4x8B-v0.1-GGUF](https://huggingface.co/mradermacher/L3.1-Moe-4x8B-v0.1-GGUF)

## Configuration

```yaml
base_model: argilla-warehouse/Llama-3.1-8B-MagPie-Ultra
gate_mode: hidden
dtype: bfloat16
experts:
  - source_model: argilla-warehouse/Llama-3.1-8B-MagPie-Ultra
    positive_prompts:
      - "chat"
      - "assistant"
      - "tell me"
      - "explain"
      - "I want"
  - source_model: sequelbox/Llama3.1-8B-PlumCode
    positive_prompts:
      - "code"
      - "python"
      - "javascript"
      - "programming"
      - "algorithm"
  - source_model: sequelbox/Llama3.1-8B-PlumMath
    positive_prompts:
      - "reason"
      - "math"
      - "mathematics"
      - "solve"
      - "count"
  - source_model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
    positive_prompts:
      - "storywriting"
      - "write"
      - "scene"
      - "story"
      - "character"
```

# [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-4x8B-v0.1)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |19.15|
|IFEval (0-Shot)    |43.47|
|BBH (3-Shot)       |27.86|
|MATH Lvl 5 (4-Shot)|11.10|
|GPQA (0-shot)      | 1.23|
|MuSR (0-shot)      | 3.98|
|MMLU-PRO (5-shot)  |27.27|