Improve model card with paper and project page links

README.md

@@ -1,16 +1,17 @@
 ---
+base_model: speakleash/Bielik-4.5B-v3.0-Instruct
 language:
 - pl
-license: apache-2.0
 library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
 tags:
 - finetuned
 - gguf
 - 8bit
 inference: false
-pipeline_tag: text-generation
-base_model: speakleash/Bielik-4.5B-v3.0-Instruct
 ---
+
 <p align="center">
   <img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1-GGUF/raw/main/speakleash_cyfronet.png">
 </p>
@@ -21,7 +22,9 @@ This model was obtained by quantizing the weights and activations of [Bielik-4.5
 AutoFP8 is used for quantization. This optimization reduces the number of bits per parameter from 16 to 8, reducing the disk size and GPU memory requirements by approximately 50%.
 Only the weights and activations of the linear operators within transformers blocks are quantized. Symmetric per-tensor quantization is applied, in which a single linear scaling maps the FP8 representations of the quantized weights and activations. 
 
-📚 Technical report: https://arxiv.org/abs/2505.02550
+📚 Technical report: [Bielik v3 Small: Technical Report](https://huggingface.co/papers/2505.02550)
+
+Project page: https://bielik.ai/
 
 FP8 compuation is supported on Nvidia GPUs with compute capability > 8.9 (Ada Lovelace, Hopper).