Update README.md

README.md

@@ -23,42 +23,45 @@ See the paper for full details.
 # Other Links
 | Binary | Description |
 |:-------|:------------|
-| [trumancai/Revela-1b](https://huggingface.co/trumancai/Revela-1b) | 1 B-parameter variant (LLaMA-3.2-1B backbone). |
-| **trumancai/Revela-500M** | *← current repo* |
-| [trumancai/Revela-135M](https://huggingface.co/trumancai/Revela-135M) | 135 M-parameter variant (SmolLM2-135M backbone). |
+| [trumancai/Revela-code-3b](https://huggingface.co/trumancai/Revela-code-3b) | 3 B-parameter code-retriever. |
 | [trumancai/Revela-code-1b](https://huggingface.co/trumancai/Revela-code-1b) | 1 B-parameter code-retriever. |
 | [trumancai/Revela-code-500M](https://huggingface.co/trumancai/Revela-code-500M) | 500 M-parameter code-retriever. |
-| [trumancai/Revela-code-135M](https://huggingface.co/trumancai/Revela-code-135M) | 135 M-parameter code-retriever. |
-| [trumancai/revela_training_corpus](https://huggingface.co/datasets/trumancai/revela_training_corpus) | Wikipedia training corpus. |
+| [trumancai/Revela-3b](https://huggingface.co/trumancai/Revela-3b) | 3 B-parameter Wikipedia retriever. |
+| [trumancai/Revela-1b](https://huggingface.co/trumancai/Revela-1b) | 1 B-parameter Wikipedia retriever. |
+| [trumancai/Revela-500M](https://huggingface.co/trumancai/Revela-500M) | 500 M-parameter Wikipedia retriever. |
 | [trumancai/revela_code_training_corpus](https://huggingface.co/datasets/trumancai/revela_code_training_corpus) | Code training corpus. |
+| [trumancai/revela_training_corpus](https://huggingface.co/datasets/trumancai/revela_training_corpus) | Wikipedia training corpus. |
+
 
 # Usage
-Evaluate with the customised **mteb** fork:
+We can evaluate the trained models with customized [mteb](https://github.com/TRUMANCFY/mteb).
+
 
 ```python
 from mteb.model_meta import ModelMeta
 from mteb.models.repllama_models import RepLLaMAWrapper, _loader
-import mteb, torch
 
-revela_qwen_500m = ModelMeta(
+revela_llama_3b = ModelMeta(
     loader=_loader(
         RepLLaMAWrapper,
-        base_model_name_or_path="Qwen/Qwen2.5-0.5B",
-        peft_model_name_or_path="trumancai/Revela-500M",
+        base_model_name_or_path="meta-llama/Llama-3.2-3B",
+        peft_model_name_or_path="trumancai/Revela-3b",
         device_map="auto",
         torch_dtype=torch.bfloat16,
     ),
-    name="trumancai/Revela-500M",
+    name="trumancai/Revela-3b",
     languages=["eng_Latn"],
     open_source=True,
-    revision="2206071b5fe41cdae695dd705b4ccc6afc63f759",
+    revision="2b31c92f23acc46762587ea37cb55032da788561",  # base-peft revision
     release_date="2025-04-13",
 )
-model = revela_qwen_500m.loader()
+revela_llama_3b_model = revela_llama_3b.loader()
 
-mteb.MTEB(tasks=["SciFact", "NFCorpus"]).run(model=model, output_folder="results/Revela-500M")
+evaluation = mteb.MTEB(tasks=["SciFact", "NFCorpus"])
+evaluation.run(model=revela_llama_3b_model, output_folder="results/Revela-3b")
 ```
 
+
 # Licence
 
 # Citation