L3.1-Moe
Collection
https://github.com/moeru-ai/L3.1-Moe
•
3 items
•
Updated
•
1
L3.1-Moe-2x8B-v0.2
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
Mergekit config
mergekit_moe_config.yml
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: &common_prompts
- "chat"
- "assistant"
- "tell me"
- "explain"
- "I want"
- "code"
- "python"
- "javascript"
- "programming"
- "algorithm"
- "reason"
- "math"
- "mathematics"
- "solve"
- "count"
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: *common_prompts
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.59 |
| IFEval (0-Shot) | 73.48 |
| BBH (3-Shot) | 32.95 |
| MATH Lvl 5 (4-Shot) | 15.26 |
| GPQA (0-shot) | 6.71 |
| MuSR (0-shot) | 11.38 |
| MMLU-PRO (5-shot) | 31.76 |
- Downloads last month
- 46
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for moeru-ai/L3.1-Moe-2x8B-v0.2
Merge model
this model
Collection including moeru-ai/L3.1-Moe-2x8B-v0.2
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard73.480
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.950
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard15.260
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.710
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.380
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard31.760