README.md

metadata

base_model:
  - Nexesenex/Llama_3.2_3b_Kermes_0.2_bf16
  - cognitivecomputations/Dolphin3.0-Llama3.2-3B
  - MaziyarPanahi/calme-3.3-llamaloi-3b
library_name: transformers
tags:
  - mergekit
  - merge
license: llama3.2
model-index:
  - name: Llama_3.2_3b_Kermes_v2
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: wis-k/instruction-following-eval
          split: train
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 57.54
            name: averaged accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: SaylorTwift/bbh
          split: test
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 22.05
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: lighteval/MATH-Hard
          split: test
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 5.44
            name: exact match
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          split: train
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 2.01
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
          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: 4.66
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
          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: 19.27
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Nexesenex%2FLlama_3.2_3b_Kermes_v2
          name: Open LLM Leaderboard

---

quantizations

GGUF static quantizations (Thanks Mradermacher!) :

https://huggingface.co./mradermacher/Llama_3.2_3b_Kermes_v2-GGUF

GGUF iMatrix quantizations (Thanks Mradermacher!) :

https://huggingface.co./mradermacher/Llama_3.2_3b_Kermes_v2-i1-GGUF

---

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using Nexesenex/Llama_3.2_3b_Kermes_0.2_bf16 as a base.

Models Merged

The following models were included in the merge:

• cognitivecomputations/Dolphin3.0-Llama3.2-3B
• MaziyarPanahi/calme-3.3-llamaloi-3b

Configuration

The following YAML configuration was used to produce this model:

merge_method: model_stock
models:
  - model: MaziyarPanahi/calme-3.3-llamaloi-3b
    parameters:
      weight: 1.0
  - model: cognitivecomputations/Dolphin3.0-Llama3.2-3B
    parameters:
      weight: 1.0
base_model: Nexesenex/Llama_3.2_3b_Kermes_0.2_bf16
dtype: float16
normalize: true

Open LLM Leaderboard Evaluation Results

Detailed results can be found here! Summarized results can be found here!

Metric	Value (%)
Average	18.50
IFEval (0-Shot)	57.54
BBH (3-Shot)	22.05
MATH Lvl 5 (4-Shot)	5.44
GPQA (0-shot)	2.01
MuSR (0-shot)	4.66
MMLU-PRO (5-shot)	19.27