Update README.md

README.md

@@ -102,6 +102,19 @@ datasets:
 
 F2LLM-v2 is a family of general-purpose, multilingual embedding models in 8 distinct sizes ranging from 80M to 14B. Trained on a curated composite of 60 million publicly available high-quality data, F2LLM-v2 supports more than 200 languages, with a particular emphasis on previously underserved mid- and low-resource languages.
 
+F2LLM-v2 is fully open. We release base models in 5 sizes, instruct models in 8 sizes, the training data, the training code, and intermediate checkpoints. The three smallest instruct models are pruned and trained from the 0.6B base model.
+
+| Model | Base                                                                                | Instruct                                                            |
+| ----- | ----------------------------------------------------------------------------------- | ------------------------------------------------------------------- |
+| 80M   |                                                                                     | [🤗F2LLM-v2-80M](https://huggingface.co/codefuse-ai/F2LLM-v2-80M)   |
+| 160M  |                                                                                     | [🤗F2LLM-v2-160M](https://huggingface.co/codefuse-ai/F2LLM-v2-160M) |
+| 330M  |                                                                                     | [🤗F2LLM-v2-330M](https://huggingface.co/codefuse-ai/F2LLM-v2-330M) |
+| 0.6B  | [🤗F2LLM-v2-0.6B-Preview](https://huggingface.co/codefuse-ai/F2LLM-v2-0.6B-Preview) | [🤗F2LLM-v2-0.6B](https://huggingface.co/codefuse-ai/F2LLM-v2-0.6B) |
+| 1.7B  | [🤗F2LLM-v2-1.7B-Preview](https://huggingface.co/codefuse-ai/F2LLM-v2-1.7B-Preview) | [🤗F2LLM-v2-1.7B](https://huggingface.co/codefuse-ai/F2LLM-v2-1.7B) |
+| 4B    | [🤗F2LLM-v2-4B-Preview](https://huggingface.co/codefuse-ai/F2LLM-v2-4B-Preview)     | [🤗F2LLM-v2-4B](https://huggingface.co/codefuse-ai/F2LLM-v2-4B)     |
+| 8B    | [🤗F2LLM-v2-8B-Preview](https://huggingface.co/codefuse-ai/F2LLM-v2-8B-Preview)     | [🤗F2LLM-v2-8B](https://huggingface.co/codefuse-ai/F2LLM-v2-8B)     |
+| 14B   | [🤗F2LLM-v2-14B-Preview](https://huggingface.co/codefuse-ai/F2LLM-v2-14B-Preview)   | [🤗F2LLM-v2-14B](https://huggingface.co/codefuse-ai/F2LLM-v2-14B)   |
+
 ## Usage
 
 ### With Sentence Transformers
@@ -168,4 +181,8 @@ similarity = query_embedding @ document_embeddings.T
 print(similarity)
 # tensor([[0.5703, 0.8281, 0.6953, 0.8203]], device='cuda:0',
 #        dtype=torch.bfloat16, grad_fn=<MmBackward0>)
-```
+```
+
+## Intermediate Checkpoints
+
+To facilitate future research, we release intermediate checkpoints in the `intermediate_checkpoints` branch.