minor
Browse files
README.md
CHANGED
|
@@ -1,17 +1,17 @@
|
|
| 1 |
---
|
| 2 |
{}
|
| 3 |
---
|
| 4 |
-
# Introducing SmallThinker-3B: A
|
| 5 |
|
| 6 |
-
We introduce **SmallThinker-3B**, a new model fine-tuned from the [Qwen2.5-3b-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) model using synthetic data generated by [QwQ-32B-Preview](https://huggingface.co/Qwen/QwQ-32B-Preview).
|
| 7 |
|
| 8 |
## Benchmark Performance
|
| 9 |
|
| 10 |
-
| Model | AMPS_Hard
|
| 11 |
-
|
| 12 |
-
|
|
| 13 |
-
|
|
| 14 |
-
|
|
| 15 |
|
| 16 |
|
| 17 |
|
|
@@ -27,4 +27,5 @@ SmallThinker is designed for the following use cases:
|
|
| 27 |
Please be aware of the following limitations:
|
| 28 |
|
| 29 |
* **Language Limitation:** The model has only been trained on English-language datasets, hence its capabilities in other languages are still lacking.
|
| 30 |
-
* **Unpredictable Outputs:** The model may produce unexpected outputs due to its size and probabilistic generation paradigm. Users should exercise caution and validate the model's responses.
|
|
|
|
|
|
| 1 |
---
|
| 2 |
{}
|
| 3 |
---
|
| 4 |
+
# Introducing SmallThinker-3B-alpha: A Small Model Fine-tuned on QwQ Synthetic Data
|
| 5 |
|
| 6 |
+
We introduce **SmallThinker-3B-alpha**, a new model fine-tuned from the [Qwen2.5-3b-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) model using synthetic data generated by [QwQ-32B-Preview](https://huggingface.co/Qwen/QwQ-32B-Preview).
|
| 7 |
|
| 8 |
## Benchmark Performance
|
| 9 |
|
| 10 |
+
| Model | AIME24 | AMC23 | GAOKAO2024_I | GAOKAO2024_II | MMLU_STEM | AMPS_Hard | math_comp |
|
| 11 |
+
|---------|--------|-------|--------------|---------------|-----------|-----------|-----------|
|
| 12 |
+
| Qwen2.5-3B-Instruct | 6.67 | 45 | 50 | 35.8 | - | - | - |
|
| 13 |
+
| SmallThinker | 16.667 | 57.5 | 64.2 | 57.1 | 68.2 | 70 | 46.8 |
|
| 14 |
+
| GPT-4o | 9.3 | - | - | - | 64.2 | 57 | 50 |
|
| 15 |
|
| 16 |
|
| 17 |
|
|
|
|
| 27 |
Please be aware of the following limitations:
|
| 28 |
|
| 29 |
* **Language Limitation:** The model has only been trained on English-language datasets, hence its capabilities in other languages are still lacking.
|
| 30 |
+
* **Unpredictable Outputs:** The model may produce unexpected outputs due to its size and probabilistic generation paradigm. Users should exercise caution and validate the model's responses.
|
| 31 |
+
* **Repetition Issue:** The model tends to repeat itself when answering high-difficulty questions. Please increase the `repetition_penalty` to mitigate this issue.
|