Improve model card: Add pipeline tag, library name, and paper link (#1)

- Improve model card: Add pipeline tag, library name, and paper link (68659111f6edd5a94f96de9c2e29ecccf1d61df9)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,13 +1,19 @@
 ---
-license: apache-2.0
+base_model:
+- Qwen/Qwen3-0.6B
 datasets:
 - codefuse-ai/F2LLM
 language:
 - en
-base_model:
-- Qwen/Qwen3-0.6B
+license: apache-2.0
+pipeline_tag: feature-extraction
+library_name: transformers
 ---
 
+# F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
+
+This repository contains the F2LLM-0.6B model presented in the paper [F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data](https://huggingface.co/papers/2510.02294).
+
 F2LLMs (Foundation to Feature Large Language Models) are foundation models directly finetuned on 6 million high-quality query-document pairs (available in [codefuse-ai/F2LLM](https://huggingface.co/datasets/codefuse-ai/F2LLM)) covering a diverse range of retrieval, classification, and clustering data, curated solely from open-source datasets without any synthetic data. These models are trained with homogeneous macro batches in a single stage, without sophisticated multi-stage pipelines.
 
 ## Usage