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Model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta Source: Original Platform
2026-07-15 14:44:18 +08:00
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+---
+license: apache-2.0
+library_name: transformers
+tags:
+- qwen2
+- qwen2.5
+- dpo
+- chat
+- conversational
+- finetune
+base_model:
+- Qwen/Qwen2.5-14B-Instruct
+datasets:
+- jondurbin/gutenberg-dpo-v0.1
+model-index:
+- name: Qwen2.5-14B-Gutenberg-1e-Delta
+  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: 80.45
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
+      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: 48.62
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
+      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: 0.0
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
+      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: 10.51
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
+      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: 9.38
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
+      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: 43.67
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=v000000/Qwen2.5-14B-Gutenberg-1e-Delta
+      name: Open LLM Leaderboard
+---
+
+# Qwen2.5-14B-Gutenberg-1e-Delta
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/NEMwTzgAX3VrxURN5Q46z.png)
+
+---------------------------------------------------------------------------------------
+
+This is "Qwen2.5-14B-Instruct" trained on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1) for <b>1.25</b> epoch's (DPO).
+
+GGUF from QuantFactory:
+
+* [GGUF static](https://huggingface.co/QuantFactory/Qwen2.5-14B-Gutenberg-1e-Delta-GGUF)
+# [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/details_v000000__Qwen2.5-14B-Gutenberg-1e-Delta)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |32.11|
+|IFEval (0-Shot)    |80.45|
+|BBH (3-Shot)       |48.62|
+|MATH Lvl 5 (4-Shot)| 0.00|
+|GPQA (0-shot)      |10.51|
+|MuSR (0-shot)      | 9.38|
+|MMLU-PRO (5-shot)  |43.67|
+