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Model: bunnycore/QwQen-3B-LCoT Source: Original Platform
2026-04-26 11:04:59 +08:00
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+---
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- prithivMLmods/QwQ-LCoT-3B-Instruct
+- bunnycore/Qwen2.5-3B-RP-Mix
+model-index:
+- name: QwQen-3B-LCoT
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 60.25
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 28.5
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 0.91
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 2.24
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 10.76
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 29.99
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
+      name: Open LLM Leaderboard
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method using [bunnycore/Qwen2.5-3B-RP-Mix](https://huggingface.co/bunnycore/Qwen2.5-3B-RP-Mix) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [prithivMLmods/QwQ-LCoT-3B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT-3B-Instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: linear
+dtype: bfloat16
+normalize: true
+base_model: bunnycore/Qwen2.5-3B-RP-Mix
+models:
+  - model: bunnycore/Qwen2.5-3B-RP-Mix
+    parameters:
+      weight: 10
+      density: 1
+  - model: prithivMLmods/QwQ-LCoT-3B-Instruct
+    parameters:
+      weight: 7
+      density: 0.8
+
+```
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bunnycore__QwQen-3B-LCoT-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |22.11|
+|IFEval (0-Shot)    |60.25|
+|BBH (3-Shot)       |28.50|
+|MATH Lvl 5 (4-Shot)| 0.91|
+|GPQA (0-shot)      | 2.24|
+|MuSR (0-shot)      |10.76|
+|MMLU-PRO (5-shot)  |29.99|
+