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README.md

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 - mlabonne/NeuralDaredevil-7B
 - TensorBlock
 - GGUF
-base_model: shadowml/DareBeagle-7B
-model-index:
-- name: DareBeagle-7B
-  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: 71.67
-      name: normalized accuracy
-    source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagle-7B
-      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: 88.01
-      name: normalized accuracy
-    source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagle-7B
-      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: 65.03
-      name: accuracy
-    source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagle-7B
-      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: 68.98
-    source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagle-7B
-      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: 82.32
-      name: accuracy
-    source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagle-7B
-      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: 71.49
-      name: accuracy
-    source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=shadowml/DareBeagle-7B
-      name: Open LLM Leaderboard
+datasets:
+- argilla/distilabel-intel-orca-dpo-pairs
+base_model: flemmingmiguel/DareBeagle-7B
 ---
 
 <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -125,9 +24,9 @@ model-index:
     </div>
 </div>
 
-## shadowml/DareBeagle-7B - GGUF
+## flemmingmiguel/DareBeagle-7B - GGUF
 
-This repo contains GGUF format model files for [shadowml/DareBeagle-7B](https://huggingface.co/shadowml/DareBeagle-7B).
+This repo contains GGUF format model files for [flemmingmiguel/DareBeagle-7B](https://huggingface.co/flemmingmiguel/DareBeagle-7B).
 
 The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).