merge
mergekit
lazymergekit
FelixChao/WestSeverus-7B-DPO-v2
CultriX/Wernicke-7B-v9
mlabonne/NeuralBeagle14-7B model-index:
name: RandomMergeNoNormWEIGHTED-7B-DARETIES results:
- task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
  - type: acc_norm value: 73.38 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics:
  - type: acc_norm value: 88.5 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics:
  - type: acc value: 64.94 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
  - type: mc2 value: 71.5 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics:
  - type: acc value: 83.58 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics:
  - type: acc value: 70.28 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES name: Open LLM Leaderboard

RandomMergeNoNormWEIGHTED-7B-DARETIES

RandomMergeNoNormWEIGHTED-7B-DARETIES is a merge of the following models using mergekit:

🧩 Configuration

yaml

models:
  - model: FelixChao/WestSeverus-7B-DPO-v2
    # No parameters necessary for base model
  - model: FelixChao/WestSeverus-7B-DPO-v2
    parameters:
      density: [1, 0.7, 0.1]
      weight: [0, 0.3, 0.7, 1]
  - model: CultriX/Wernicke-7B-v9
    parameters:
      density: [1, 0.7, 0.3]
      weight: [0, 0.25, 0.5, 1]
  - model: mlabonne/NeuralBeagle14-7B
    parameters:
      density: 0.25
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: FelixChao/WestSeverus-7B-DPO-v2
parameters:
  int8_mask: true
  normalize: true
  sparsify:
    - filter: mlp
      value: 0.5
    - filter: self_attn
      value: 0.5
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	75.36
AI2 Reasoning Challenge (25-Shot)	73.38
HellaSwag (10-Shot)	88.50
MMLU (5-Shot)	64.94
TruthfulQA (0-shot)	71.50
Winogrande (5-shot)	83.58
GSM8k (5-shot)	70.28

RichardErkhov/jsfs11_-_RandomMergeNoNormWEIGHTED-7B-DARETIES-8bits

Original model description:

RandomMergeNoNormWEIGHTED-7B-DARETIES

🧩 Configuration

Open LLM Leaderboard Evaluation Results

RichardErkhov/
jsfs11_-_RandomMergeNoNormWEIGHTED-7B-DARETIES-8bits