---
license: apache-2.0
tags:
- moe
- frankenmoe
- merge
- mergekit
- lazymergekit
- jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
- senseable/WestLake-7B-v2
- mlabonne/OmniBeagle-7B
- vanillaOVO/supermario_v3
base_model:
- jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
- senseable/WestLake-7B-v2
- mlabonne/OmniBeagle-7B
- vanillaOVO/supermario_v3
model-index:
- name: MixtureofMerges-MoE-4x7b-v3
  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: 74.4
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v3
      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: 88.62
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v3
      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: 64.82
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v3
      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: 70.78
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v3
      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: 85.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v3
      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: 68.23
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-4x7b-v3
      name: Open LLM Leaderboard
---

# Open-LLM Benchmark Results:
MixtureofMerges-MoE-4x7b-v3 Open LLM Leaderboard📑
Average: 75.31
ARC: 74.40
HellaSwag: 88.62
MMLU: 64.82
TruthfulQA: 70.78
Winogrande: 85
GSM8K: 68.23

# MixtureofMerges-MoE-4x7b-v3

MixtureofMerges-MoE-4x7b-v3 is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES](https://huggingface.co/jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES)
* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
* [mlabonne/OmniBeagle-7B](https://huggingface.co/mlabonne/OmniBeagle-7B)
* [vanillaOVO/supermario_v3](https://huggingface.co/vanillaOVO/supermario_v3)

## 🧩 Configuration

```yaml
base_model: senseable/WestLake-7B-v2
gate_mode: hidden
dtype: bfloat16
experts:
  - source_model: jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
    positive_prompts:
      - "Answer this question from the ARC (Argument Reasoning Comprehension)."
      - "Use common sense and logical reasoning skills."
    negative_prompts:
      - "nonsense"
      - "irrational"
      - "math"
      - "code"
  - source_model: senseable/WestLake-7B-v2
    positive_prompts:
      - "Answer this question from the Winogrande test."
      - "Use advanced knowledge of culture and humanity"
    negative_prompts:
      - "ignorance"
      - "uninformed"
      - "creativity"
  - source_model: mlabonne/OmniBeagle-7B
    positive_prompts:
      - "Calculate the answer to this math problem"
      - "My mathematical capabilities are strong, allowing me to handle complex mathematical queries"
      - "solve for"
    negative_prompts:
      - "incorrect"
      - "inaccurate"
      - "creativity"
  - source_model: vanillaOVO/supermario_v3
    positive_prompts:
      - "Predict the most plausible continuation for this scenario."
      - "Demonstrate understanding of everyday commonsense in your response."
      - "Use contextual clues to determine the most likely outcome."
      - "Apply logical reasoning to complete the given narrative."
      - "Infer the most realistic action or event that follows."
    negative_prompts:
      - "guesswork"
      - "irrelevant information"
      - "contradictory response"
      - "illogical conclusion"
      - "ignoring context"


```

## 💻 Usage

```python
!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "jsfs11/MixtureofMerges-MoE-4x7b-v3"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)

messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_jsfs11__MixtureofMerges-MoE-4x7b-v3)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |75.31|
|AI2 Reasoning Challenge (25-Shot)|74.40|
|HellaSwag (10-Shot)              |88.62|
|MMLU (5-Shot)                    |64.82|
|TruthfulQA (0-shot)              |70.78|
|Winogrande (5-shot)              |85.00|
|GSM8k (5-shot)                   |68.23|