Neural-Cosmic-Boy-7B-slerp/README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- Kukedlc/Neural-Cosmic-7B-slerp
- Kukedlc/NeuralLogic-7B-V
- Kukedlc/SuperCombo
base_model:
- Kukedlc/Neural-Cosmic-7B-slerp
- Kukedlc/NeuralLogic-7B-V
- Kukedlc/SuperCombo
model-index:
- name: Neural-Cosmic-Boy-7B-slerp
  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: 70.48
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/Neural-Cosmic-Boy-7B-slerp
      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: 87.65
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/Neural-Cosmic-Boy-7B-slerp
      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: 64.92
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/Neural-Cosmic-Boy-7B-slerp
      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: 67.1
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/Neural-Cosmic-Boy-7B-slerp
      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: 82.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/Neural-Cosmic-Boy-7B-slerp
      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: 72.33
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/Neural-Cosmic-Boy-7B-slerp
      name: Open LLM Leaderboard
---

## Note: The merge method is ties, not slerp.


# Neural-Cosmic-Boy-7B-slerp

![Neural Cosmic Boy - 7 billons params](https://raw.githubusercontent.com/kukedlc87/imagenes/main/DALL%C2%B7E%202024-02-17%2020.28.38%20-%20Visualize%20a%20human%20face%20composed%20entirely%20of%20topographic%20lines%2C%20similar%20to%20those%20found%20on%20a%20mountain%20map.%20This%20artistic%20representation%20uses%20only%20lines%20.webp)
Neural-Cosmic-Boy-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kukedlc/Neural-Cosmic-7B-slerp](https://huggingface.co/Kukedlc/Neural-Cosmic-7B-slerp)
* [Kukedlc/NeuralLogic-7B-V](https://huggingface.co/Kukedlc/NeuralLogic-7B-V)
* [Kukedlc/SuperCombo](https://huggingface.co/Kukedlc/SuperCombo)

## 🧩 Configuration
    
```yaml
models:
  - model: Kukedlc/Neural-Cosmic-7B-slerp
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: Kukedlc/NeuralLogic-7B-V
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: Kukedlc/SuperCombo
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  normalize: true
  int8_mask: true
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Kukedlc/Neural-Cosmic-Boy-7B-slerp"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

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_Kukedlc__Neural-Cosmic-Boy-7B-slerp)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |74.08|
|AI2 Reasoning Challenge (25-Shot)|70.48|
|HellaSwag (10-Shot)              |87.65|
|MMLU (5-Shot)                    |64.92|
|TruthfulQA (0-shot)              |67.10|
|Winogrande (5-shot)              |82.00|
|GSM8k (5-shot)                   |72.33|