French Pro model
This version aims to be a multilingual model (EN 🇺🇸 + FR 🇫🇷) to refine the specific professional tasks in French.
Dataset
EnnoAi-Pro has been trained on a French dataset to enhance its analysis and response quality. The dataset contains ~275K high-quality training samples of professional and general strategic themes.
Tuning
We use specific recipes with QLora methods to increase accuracy in advanced RAG contexts.
Prompt Format
We use the default ChatML format with system role support.
<|begin_of_text|><|im_start|>system
{SYSTEM_CONTEXT}<|im_end|>
<|im_start|>user
{USER_ENTRY}<|im_end|>
<|im_start|>assistant
{ASSISTANT_ENTRY}<|im_end|>
This model is under construction
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 12.17 |
| IFEval (0-Shot) | 31.95 |
| BBH (3-Shot) | 17.51 |
| MATH Lvl 5 (4-Shot) | 0.15 |
| GPQA (0-shot) | 1.57 |
| MuSR (0-shot) | 9.08 |
| MMLU-PRO (5-shot) | 12.79 |
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for Enno-Ai/EnnoAi-Pro-Llama-3-8B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard31.950
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard17.510
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.150
- acc_norm on GPQA (0-shot)Open LLM Leaderboard1.570
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.080
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard12.790