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- license: apache-2.0
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- license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE
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  language:
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  - en
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- pipeline_tag: text-generation
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- base_model: Qwen/Qwen2.5-7B
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  tags:
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  - chat
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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@@ -24,9 +119,12 @@ This is quantized version of [Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-ab
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- # Model Card for Isaak-Carter/Josiefied-Qwen2-7B-Instruct-abliterated
 
 
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- Newer and better version is here `Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2`
 
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  ## Model Details
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@@ -212,6 +310,21 @@ Detailed evaluation results are reported in this [📑 blog](https://qwenlm.gith
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  For requirements on GPU memory and the respective throughput, see results [here](https://qwen.readthedocs.io/en/latest/benchmark/speed_benchmark.html).
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  ## Citation
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  If you find our work helpful, feel free to give us a cite.
 
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  ---
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  language:
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  - en
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+ license: apache-2.0
 
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  tags:
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  - chat
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+ base_model: Qwen/Qwen2.5-7B
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+ license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: Josiefied-Qwen2.5-7B-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: 73.17
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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=Isaak-Carter/Josiefied-Qwen2.5-7B-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: 34.9
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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=Isaak-Carter/Josiefied-Qwen2.5-7B-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: 0.0
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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=Isaak-Carter/Josiefied-Qwen2.5-7B-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: 7.05
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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=Isaak-Carter/Josiefied-Qwen2.5-7B-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: 9.62
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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=Isaak-Carter/Josiefied-Qwen2.5-7B-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: 36.4
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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=Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated
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+ name: Open LLM Leaderboard
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  ---
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+ # ATTENTION!!! Newer and better version is here `Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2`
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+
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+ [Link to the better verion](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-gguf)
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+
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+ # Model Card for Isaak-Carter/Josiefied-Qwen2-7B-Instruct-abliterated (The bad model)
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  ## Model Details
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  For requirements on GPU memory and the respective throughput, see results [here](https://qwen.readthedocs.io/en/latest/benchmark/speed_benchmark.html).
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Isaak-Carter__Josiefied-Qwen2.5-7B-Instruct-abliterated)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |26.86|
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+ |IFEval (0-Shot) |73.17|
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+ |BBH (3-Shot) |34.90|
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+ |MATH Lvl 5 (4-Shot)| 0.00|
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+ |GPQA (0-shot) | 7.05|
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+ |MuSR (0-shot) | 9.62|
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+ |MMLU-PRO (5-shot) |36.40|
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+
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+
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  ## Citation
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  If you find our work helpful, feel free to give us a cite.