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Model: mlabonne/GML-Mistral-merged-v1 Source: Original Platform
2026-04-12 11:58:55 +08:00
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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+model-index:
+- name: GML-Mistral-merged-v1
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 43.77
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 57.89
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 64.13
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 51.58
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 73.88
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 0.0
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
+      name: Open LLM Leaderboard
+---
+
+# GML-Mistral-merged-v1
+
+Quick attempt to reproduce [zyh3826/GML-Mistral-merged-v1](https://huggingface.co/zyh3826/GML-Mistral-merged-v1).
+
+This model is a merge of the following models made with [mergekit](https://github.com/cg123/mergekit):
+ * [quantumaikr/quantum-v0.01](https://huggingface.co/quantumaikr/quantum-v0.01)
+ * [mncai/mistral-7b-dpo-v5](https://huggingface.co/mncai/mistral-7b-dpo-v5)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+    - model: quantumaikr/quantum-v0.01
+      layer_range: [0, 32]
+  - sources:
+    - model: mncai/mistral-7b-dpo-v5
+      layer_range: [24, 32]
+merge_method: passthrough
+dtype: bfloat16
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mlabonne__GML-Mistral-merged-v1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |48.54|
+|AI2 Reasoning Challenge (25-Shot)|43.77|
+|HellaSwag (10-Shot)              |57.89|
+|MMLU (5-Shot)                    |64.13|
+|TruthfulQA (0-shot)              |51.58|
+|Winogrande (5-shot)              |73.88|
+|GSM8k (5-shot)                   | 0.00|
+