BABA-W (09988.HK) (BABA.US) has open-sourced two new models from the Qwen3 series, including 'Qwen3-Embedding' and 'Qwen3-Reranker'.
These models are specifically designed for text representation, retrieval, and ranking tasks, trained on the Qwen3 foundational model, fully inheriting Qwen3's advantages in multilingual text understanding, supporting 119 languages.
Qwen3 Embedding performs exceptionally well in multilingual text representation benchmark tests, based on test data. Among them, the 8B parameter ranks first with a high score of 70.58, surpassing many commercial API services, such as Google's (GOOG.US) Gemini-Embedding.
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| SG Top Picks |
| Stock & Type |
Code |
Strike(Call Level) |
Last |
Effective Gearing |
| ALIBA (C) |
13780 |
128.1 (-) |
0.037 |
9.0 X |
| ALIBA (C) |
16291 |
125.1 (-) |
0.076 |
6.1 X |
| ALIBA (C) |
16083 |
118.98 (-) |
0.069 |
7.3 X |
| ALIBA (C) |
29058 |
110.3 (-) |
0.213 |
6.3 X |
| ALIBA (P) |
13581 |
98.94 (-) |
0.048 |
5.8 X |
| ALIBA (P) |
27782 |
82.83 (-) |
0.017 |
9.1 X |
| ALIBA (Bull) |
67343 |
106.5 (108) |
0.068 |
16.6 X |
| ALIBA (Bull) |
69763 |
104 (105.5) |
0.021 |
10.7 X |
| ALIBA (Bear) |
56934 |
124 (122.5) |
0.094 |
12.0 X |
| ALIBA (Bear) |
63569 |
119 (117.5) |
0.059 |
19.1 X |
| ALPBE (C) |
10571 |
195 (-) |
0.088 |
9.2 X |
| ALPBE (P) |
10496 |
170 (-) |
0.055 |
21.3 X |
