Updated readme

Author: Pringled

README.md

@@ -168,11 +168,13 @@ We provide a number of models that can be used out of the box. These models are
 | Model                                                                 | Language    | Sentence Transformer                                            | Params  | Task      |
 |-----------------------------------------------------------------------|------------|-----------------------------------------------------------------|---------|-----------|
 | [potion-base-32M](https://huggingface.co/minishlab/potion-base-32M)   | English    | [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 32.3M   | General   |
+| [potion-multilingual-128M](https://huggingface.co/minishlab/potion-multilingual-128M) | Multilingual | [bge-m3](https://huggingface.co/BAAI/bge-m3)      | 128M    | General   |
+| [potion-retrieval-32M](https://huggingface.co/minishlab/potion-retrieval-32M) | English    | [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 32.3M   | Retrieval |
 | [potion-base-8M](https://huggingface.co/minishlab/potion-base-8M)     | English    | [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 7.5M    | General   |
 | [potion-base-4M](https://huggingface.co/minishlab/potion-base-4M)     | English    | [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 3.7M    | General   |
 | [potion-base-2M](https://huggingface.co/minishlab/potion-base-2M)     | English    | [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 1.8M    | General   |
-| [potion-retrieval-32M](https://huggingface.co/minishlab/potion-retrieval-32M) | English    | [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 32.3M   | Retrieval |
-| [M2V_multilingual_output](https://huggingface.co/minishlab/M2V_multilingual_output) | Multilingual | [LaBSE](https://huggingface.co/sentence-transformers/LaBSE)      | 471M    | General   |
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 ## Results

results/README.md

@@ -55,7 +55,7 @@ NOTE: for fairness of comparison, we disabled multiprocessing for Model2Vec for
 ### MMTEB Results (Multilingual)
 The results for the multilingual models are shown in the table below. We compare against the [LaBSE](https://huggingface.co/sentence-transformers/LaBSE) model, as well as other multilingual static embedding models.
 
-| Model                                     | Mean (Task) | Mean (TaskType) | BitMining | Class | Clust | InstRet | MuliClass | PairClass | Rank | Ret | STS       |
+| Model                                     | Mean (Task) | Mean (TaskType) | BitMining | Class | Clust | InstRet | MultiClass | PairClass | Rank | Ret | STS       |
 | :---------------------------------------- | :---------- | :-------------- | :------------ | :------------- | :--------- | :-------------------- | :------------------------ | :------------------ | :-------- | :-------- | :-------- |
 | [LaBSE](https://huggingface.co/sentence-transformers/LaBSE) |       52.07 |           45.65 |         76.35 |          54.60 |      38.08 |                 −3.00 |                     20.12 |               75.97 |     50.20 |     33.17 | 65.35 |
 | [potion-multilingual-128M](https://huggingface.co/minishlab/potion-multilingual-128M)              | 47.31   | 40.40           | 40.72         | 52.36      | 38.80  | −2.08                 | 15.95                 | 71.39               | 47.39     | 37.86     | 61.23     |