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README.md CHANGED
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1
  ---
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- license: apache-2.0
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- language:
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- - en
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- pipeline_tag: text-generation
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  tags:
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- - chat
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  - TensorBlock
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  - GGUF
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- base_model: natong19/Qwen2-7B-Instruct-abliterated
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -21,9 +113,9 @@ base_model: natong19/Qwen2-7B-Instruct-abliterated
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  </div>
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  </div>
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- ## natong19/Qwen2-7B-Instruct-abliterated - GGUF
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- This repo contains GGUF format model files for [natong19/Qwen2-7B-Instruct-abliterated](https://huggingface.co/natong19/Qwen2-7B-Instruct-abliterated).
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28
  The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
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  ---
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+ library_name: transformers
 
 
 
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  tags:
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+ - uncensored
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  - TensorBlock
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  - GGUF
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+ base_model: informatiker/Qwen2-7B-Instruct-abliterated
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+ model-index:
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+ - name: Qwen2-7B-Instruct-abliterated
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 58.22
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 37.8
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 8.38
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 6.82
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 6.83
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 31.92
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=informatiker/Qwen2-7B-Instruct-abliterated
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+ name: Open LLM Leaderboard
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  ---
104
 
105
  <div style="width: auto; margin-left: auto; margin-right: auto">
 
113
  </div>
114
  </div>
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116
+ ## informatiker/Qwen2-7B-Instruct-abliterated - GGUF
117
 
118
+ This repo contains GGUF format model files for [informatiker/Qwen2-7B-Instruct-abliterated](https://huggingface.co/informatiker/Qwen2-7B-Instruct-abliterated).
119
 
120
  The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
121