metadata

base_model:
  - unsloth/Meta-Llama-3.1-8B
  - T145/KRONOS-8B-V1-P2
  - unsloth/Meta-Llama-3.1-8B-Instruct
  - T145/KRONOS-8B-V1-P1
  - T145/KRONOS-8B-V1-P3
library_name: transformers
tags:
  - mergekit
  - merge
license: llama3.1
model-index:
  - name: KRONOS-8B-V2
    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: 51.8
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V2
          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: 30.67
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V2
          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: 22.66
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V2
          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: 6.49
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-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: 8.26
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-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: 30.42
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=T145/KRONOS-8B-V2
          name: Open LLM Leaderboard

KRONOS-8B-V2

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

Merge Details

Merge Method

This model was merged using the TIES merge method using unsloth/Meta-Llama-3.1-8B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: unsloth/Meta-Llama-3.1-8B
dtype: bfloat16
merge_method: ties
parameters:
  density: 1.0
  weight: 1.0
slices:
- sources:
  - layer_range: [0, 32]
    model: T145/KRONOS-8B-V1-P1
    parameters:
      density: 1.0
      weight: 1.0
  - layer_range: [0, 32]
    model: T145/KRONOS-8B-V1-P2
    parameters:
      density: 1.0
      weight: 1.0
  - layer_range: [0, 32]
    model: T145/KRONOS-8B-V1-P3
    parameters:
      density: 1.0
      weight: 1.0
  - layer_range: [0, 32]
    model: unsloth/Meta-Llama-3.1-8B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - layer_range: [0, 32]
    model: unsloth/Meta-Llama-3.1-8B
tokenizer_source: unsloth/Meta-Llama-3.1-8B-Instruct

Open LLM Leaderboard Evaluation Results

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

Metric	% Value
Avg.	25.05
IFEval (0-Shot)	51.80
BBH (3-Shot)	30.67
MATH Lvl 5 (4-Shot)	22.66
GPQA (0-shot)	6.49
MuSR (0-shot)	8.26
MMLU-PRO (5-shot)	30.42