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

Name: L3.1-Moe-4x8B-v0.1
Availability: InStock

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

Heavily inspired by mlabonne/Beyonder-4x7B-v3.

Quantized models

GGUF by mradermacher

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

Detailed results can be found here

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

moeru-ai/L3.1-Moe-4x8B-v0.1

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

Quantized models

GGUF by mradermacher

Configuration

Open LLM Leaderboard Evaluation Results

moeru-ai/
L3.1-Moe-4x8B-v0.1