L3.1-Moe-4x8B-v0.2

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
• ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
• rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
• 3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v0

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

Quantized models

GGUF by mradermacher

• mradermacher/L3.1-Moe-4x8B-v0.2-i1-GGUF
• mradermacher/L3.1-Moe-4x8B-v0.2-GGUF

Mergekit config

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: &chat_prompts
      - "chat"
      - "assistant"
      - "tell me"
      - "explain"
      - "I want"
    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: *chat_prompts
  - source_model: rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
    positive_prompts:
      - "code"
      - "python"
      - "javascript"
      - "programming"
      - "algorithm"
  - source_model: 3rd-Degree-Burn/Llama-3.1-8B-Squareroot-v0
    positive_prompts:
      - "reason"
      - "math"
      - "mathematics"
      - "solve"
      - "count"

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	17.47
IFEval (0-Shot)	54.07
BBH (3-Shot)	21.34
MATH Lvl 5 (4-Shot)	5.29
GPQA (0-shot)	2.24
MuSR (0-shot)	2.29
MMLU-PRO (5-shot)	19.58