FINGU-AI
/

Phi-4-RRStock

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 library_name: transformers
-tags: []
 ---
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 ---
 library_name: transformers
+license: mit
 ---
+### Model Card for **Phi-4 Merge Model**
+#### **Model Description**
+This is a merged model combining pre-trained language models with specific configurations and parameters, created using MergeKit. The merge focuses on balancing reasoning, stock capabilities, and performance enhancements derived from both parent models.
+---
+### **Merge Details**
+**Merge Method**
+The model was merged using the **Linear merge method**, preserving key features from each base model to optimize reasoning, general knowledge, and understanding.
+---
+### **Models Merged**
+The following models were included in this merge:
+1. **bunnycore/Phi-4-RR-Shoup** – contributing **40.95%**
+2. **bunnycore/Phi-4-Model-Stock-v4** – contributing **41.03%**
+---
+### **Configuration**
+The following YAML configuration was used to produce this merged model:
+```yaml
+models:
+  - model: bunnycore/Phi-4-RR-Shoup
+    parameters:
+      weight: 0.4095
+  - model: bunnycore/Phi-4-Model-Stock-v4
+    parameters:
+      weight: 0.4103
+merge_method: linear
+normalize: false
+int8_mask: true
+dtype: bfloat16
+```
+---
+### **Open LLM Leaderboard Evaluation Results**
+Below are the evaluation metrics achieved by this merged model:
+| **Metric**              | **Score**  |
+|-------------------------|------------|
+| **Avg.**                | **40.95**  |
+| **IFEval (0-Shot)**      | **65.87**  |
+| **BBH (3-Shot)**         | **56.11**  |
+| **MATH Lvl 5 (4-Shot)**  | **47.96**  |
+| **GPQA (0-shot)**        | **11.63**  |
+| **MuSR (0-shot)**        | **14.94**  |
+| **MMLU-PRO (5-shot)**    | **49.21**  |
+---
+### **Potential Use Cases**
+This merged model can be applied in various NLP tasks, including but not limited to:
+- **Zero-shot and Few-shot Reasoning**
+- **Mathematical Problem Solving**
+- **General Knowledge Question Answering**
+- **Multi-task Learning for Professional Knowledge Areas (MMLU)**
+---
+### **License and Usage**
+Ensure compliance with the licenses of the merged models. This merged model inherits licenses from all parent models, and the user is advised to review and adhere to individual model licenses.
+**Disclaimer:** This model is provided as-is without warranty. Performance may vary based on specific tasks or evaluation benchmarks.