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--- |
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base_model: Trappu/Magnum-Picaro-0.7-v2-12b |
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base_model_relation: quantized |
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quantized_by: ArtusDev |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- anthracite-org/magnum-v2-12b |
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- Trappu/Nemo-Picaro-12B |
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- exl3 |
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model-index: |
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- name: Magnum-Picaro-0.7-v2-12b |
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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: 30.03 |
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name: strict accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b |
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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: 35.75 |
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name: normalized accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b |
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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: 4.76 |
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name: exact match |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b |
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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: 9.73 |
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name: acc_norm |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b |
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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: 19.56 |
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name: acc_norm |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b |
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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: 28.67 |
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name: accuracy |
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source: |
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url: >- |
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b |
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name: Open LLM Leaderboard |
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license: apache-2.0 |
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--- |
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## EXL3 Quants of Trappu/Magnum-Picaro-0.7-v2-12b |
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EXL3 quants of [Trappu/Magnum-Picaro-0.7-v2-12b](https://huggingface.co/Trappu/Magnum-Picaro-0.7-v2-12b) using <a href="https://github.com/turboderp-org/exllamav3/">exllamav3</a> for quantization. |
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### Quants |
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| Quant(Revision) | Bits per Weight | Head Bits | |
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| -------- | ---------- | --------- | |
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| [2.5_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/2.5bpw_H6) | 2.5 | 6 | |
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| [3.0_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/3.0bpw_H6) | 3.0 | 6 | |
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| [3.5_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/3.5bpw_H6) | 3.5 | 6 | |
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| [4.0_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/4.0bpw_H6) | 4.0 | 6 | |
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| [4.25_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/4.25bpw_H6) | 4.25 | 6 | |
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| [4.5_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/4.5bpw_H6) | 4.5 | 6 | |
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| [5.0_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/5.0bpw_H6) | 5.0 | 6 | |
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| [5.5_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/5.5bpw_H6) | 5.5 | 6 | |
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| [6.0_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/6.0bpw_H6) | 6.0 | 6 | |
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| [8.0_H8](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/8.0bpw_H8) | 8.0 | 8 | |
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### Downloading quants with huggingface-cli |
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<details> |
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<summary>Click to view download instructions</summary> |
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Install hugginface-cli: |
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```bash |
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pip install -U "huggingface_hub[cli]" |
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``` |
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Download quant by targeting the specific quant revision (branch): |
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``` |
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huggingface-cli download ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3 --revision "5.0bpw_H6" --local-dir ./ |
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``` |
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</details> |
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