L3.1-Moe
Collection
https://github.com/moeru-ai/L3.1-Moe
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3 items
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Updated
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L3.1-Moe-4x8B-v0.1
This model is a Mixture of Experts (MoE) made with mergekit-moe. It uses the following base models:
- 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
Heavily inspired by mlabonne/Beyonder-4x7B-v3.
Quantized models
GGUF by mradermacher
Configuration
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 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard43.470
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard27.860
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard11.100
- acc_norm on GPQA (0-shot)Open LLM Leaderboard1.230
- acc_norm on MuSR (0-shot)Open LLM Leaderboard3.980
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard27.270