L3.1-Moe
Collection
https://github.com/moeru-ai/L3.1-Moe
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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
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 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard54.070
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard21.340
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.290
- acc_norm on GPQA (0-shot)Open LLM Leaderboard2.240
- acc_norm on MuSR (0-shot)Open LLM Leaderboard2.290
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard19.580