---
base_model: Trappu/Magnum-Picaro-0.7-v2-12b
base_model_relation: quantized
quantized_by: ArtusDev
tags:
- merge
- mergekit
- lazymergekit
- anthracite-org/magnum-v2-12b
- Trappu/Nemo-Picaro-12B
- exl3
model-index:
- name: Magnum-Picaro-0.7-v2-12b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 30.03
      name: strict accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 35.75
      name: normalized accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 4.76
      name: exact match
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 9.73
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 19.56
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 28.67
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Trappu/Magnum-Picaro-0.7-v2-12b
      name: Open LLM Leaderboard
license: apache-2.0
---

## EXL3 Quants of Trappu/Magnum-Picaro-0.7-v2-12b

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.

### Quants
| Quant(Revision) | Bits per Weight | Head Bits |
| -------- | ---------- | --------- |
| [2.5_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/2.5bpw_H6) | 2.5 | 6 |
| [3.0_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/3.0bpw_H6) | 3.0 | 6 |
| [3.5_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/3.5bpw_H6) | 3.5 | 6 |
| [4.0_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/4.0bpw_H6) | 4.0 | 6 |
| [4.25_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/4.25bpw_H6) | 4.25 | 6 |
| [4.5_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/4.5bpw_H6) | 4.5 | 6 |
| [5.0_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/5.0bpw_H6) | 5.0 | 6 |
| [5.5_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/5.5bpw_H6) | 5.5 | 6 |
| [6.0_H6](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/6.0bpw_H6) | 6.0 | 6 |
| [8.0_H8](https://huggingface.co/ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3/tree/8.0bpw_H8) | 8.0 | 8 |

### Downloading quants with huggingface-cli

<details>
  <summary>Click to view download instructions</summary>

Install hugginface-cli:

```bash
pip install -U "huggingface_hub[cli]"
```

Download quant by targeting the specific quant revision (branch):

```
huggingface-cli download ArtusDev/Trappu_Magnum-Picaro-0.7-v2-12b-EXL3 --revision "5.0bpw_H6" --local-dir ./
```
</details>