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Model: suayptalha/Rombos-2.5-T.E-8.1
Source: Original Platform

README.md

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+---
+license: cc-by-nc-sa-4.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+- conversational
+base_model:
+- rombodawg/Rombos-LLM-V2.5-Qwen-7b
+- Cran-May/T.E-8.1
+model-index:
+- name: Rombos-2.5-T.E-8.1
+  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: 69.25
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
+      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: 36.5
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
+      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: 0.83
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
+      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: 8.17
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
+      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: 10.98
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
+      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: 38.28
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Rombos-2.5-T.E-8.1
+      name: Open LLM Leaderboard
+---
+# merged
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+You can use ChatML format.
+
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [rombodawg/Rombos-LLM-V2.5-Qwen-7b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-7b)
+* [Cran-May/T.E-8.1](https://huggingface.co/Cran-May/T.E-8.1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - filter: self_attn
+    value: [0.0, 0.5, 0.3, 0.7, 1.0]
+  - filter: mlp
+    value: [1.0, 0.5, 0.7, 0.3, 0.0]
+  - value: 0.5
+slices:
+- sources:
+  - layer_range: [0, 28]
+    model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
+  - layer_range: [0, 28]
+    model: Cran-May/T.E-8.1
+```
+# [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_suayptalha__Rombos-2.5-T.E-8.1)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |27.34|
+|IFEval (0-Shot)    |69.25|
+|BBH (3-Shot)       |36.50|
+|MATH Lvl 5 (4-Shot)| 0.83|
+|GPQA (0-shot)      | 8.17|
+|MuSR (0-shot)      |10.98|
+|MMLU-PRO (5-shot)  |38.28|
+
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