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Model: djuna/Q2.5-Veltha-14B-0.5 Source: Original Platform
2026-05-02 16:46:08 +08:00
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+---
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- arcee-ai/SuperNova-Medius
+- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
+- allura-org/TQ2.5-14B-Aletheia-v1
+- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
+- v000000/Qwen2.5-Lumen-14B
+model-index:
+- name: Q2.5-Veltha-14B-0.5
+  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: 77.96
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
+      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: 50.32
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
+      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: 33.84
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
+      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: 15.77
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
+      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: 14.17
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
+      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: 47.72
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
+      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 della_linear merge method using [arcee-ai/SuperNova-Medius](https://huggingface.co/arcee-ai/SuperNova-Medius) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2)
+* [allura-org/TQ2.5-14B-Aletheia-v1](https://huggingface.co/allura-org/TQ2.5-14B-Aletheia-v1)
+* [EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2)
+* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: della_linear
+dtype: float32
+out_dtype: bfloat16
+parameters:
+  epsilon: 0.04
+  lambda: 1.05
+  normalize: true
+base_model: arcee-ai/SuperNova-Medius
+tokenizer_source: arcee-ai/SuperNova-Medius
+models:
+  - model: arcee-ai/SuperNova-Medius
+    parameters:
+      weight: 10
+      density: 1
+  - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
+    parameters:
+      weight: 7
+      density: 0.5
+  - model: v000000/Qwen2.5-Lumen-14B
+    parameters:
+      weight: 7
+      density: 0.4
+  - model: allura-org/TQ2.5-14B-Aletheia-v1
+    parameters:
+      weight: 8
+      density: 0.4
+  - model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
+    parameters:
+      weight: 8
+      density: 0.45
+
+```
+
+# [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/djuna__Q2.5-Veltha-14B-0.5-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |39.96|
+|IFEval (0-Shot)    |77.96|
+|BBH (3-Shot)       |50.32|
+|MATH Lvl 5 (4-Shot)|33.84|
+|GPQA (0-shot)      |15.77|
+|MuSR (0-shot)      |14.17|
+|MMLU-PRO (5-shot)  |47.72|
+