yixinsong commited on
Commit
fb9163c
·
1 Parent(s): d4dea51
Files changed (1) hide show
  1. README.md +9 -8
README.md CHANGED
@@ -1,17 +1,17 @@
1
  ---
2
  {}
3
  ---
4
- # Introducing SmallThinker-3B: A Lightweight Model Fine-tuned on QwQ Synthetic Data
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 Score |
11
- |---------|----------------|
12
- | SmallThinker | 58.0 |
13
- | GPT-4o (2024-08-06) | 54.0 |
14
- | Qwen2.5-3B-Instruct | 44.0 |
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.