Update README.md

README.md

@@ -30,11 +30,11 @@ pipeline_tag: text-generation
 
 ## 1. Introduction
 
-**Alpie Core is one of the first fine-tuned 4-bit reasoning models from India, and among one of the first worldwide.** Trained on just 8 Hopper GPUs using LoRA for parameter-efficient fine-tuning, combined with QLoRA 4-bit quantization, and synthetic STEM-rich dataset distillation, it proves that aggressive quantization can not only match but also surpass full-precision baselines.
+**Alpie Core is one of the first fine-tuned 4-bit reasoning models from India, and among one of the first worldwide at this scale.** Trained on just 8 Hopper GPUs using LoRA for parameter-efficient fine-tuning, combined with QLoRA 4-bit quantization, and synthetic STEM-rich dataset distillation, it proves that aggressive quantization can not only match but also surpass full-precision baselines.
 
 With a dramatically reduced memory footprint, Alpie Core delivers competitive, frontier-level reasoning performance, even beating some top proprietary models. It achieves **81.28% on MMLU, 92.75% on GSM8K, and 57.8% on SWE-Bench Verified**, ranking top globally on competitive leaderboards, a demonstration that efficient models can rival frontier systems while remaining practical for real-world deployment at scale.
 
-![Combined Benchmark](combined_benchmark.png)
+![Bench](https://cdn-uploads.huggingface.co/production/uploads/66e2f8a815879154e1f9e023/HjdQLQGovZmNT0OeKdzvy.png)
 
 ## 2. Model Summary
 
@@ -92,11 +92,7 @@ This SFT approach enables Alpie Core to deliver reliable, aligned, and context-a
 
 ## 6. Benchmark Results
 
-![GSM8K Benchmark](GSM8K.png)
-
-
-![BBH Benchmark](BBH.png)
-
+![Combined Benchmark](combined_benchmark.png)
 
 | Benchmark | Alpie Core (32B-4bit) | DeepSeek-V2 (236B) | Qwen2.5 72B | Llama 3.1 405B | Llama 3.1 70B | Gemma-3 27B-PT | Mistral-Small-24B-Base-2501 |
 |-----------|----------------------|-------------------|-------------|---------------|---------------|----------------|----------------------------|
@@ -122,7 +118,6 @@ These results demonstrate Alpie Core’s ability to rival or surpass leading pro
 | 6 | DeepSeek R1 | 49.2 | Below Alpie |
 | 7 | Devstral | 46.8 | Below Alpie |
 
-![SWE-Bench Performance](swe.png)
 
 ### Humanity's Last Exam Leaderboard Performance