---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- merge
- mergekit
- lazymergekit
base_model:
- invisietch/L3.1-EtherealRainbow-v1.0-rc1-8B
- ZeroXClem/L3SAO-Mix-SuperHermes-NovaPurosani-8B
- ZeroXClem/Llama3.1-Hermes3-SuperNova-8B-L3.1-Purosani-2-8B
- djuna/L3.1-Purosani-2-8B
- ZeroXClem/Llama-3.1-8B-SuperTulu-LexiNova
pipeline_tag: text-generation
model-index:
- name: Llama-3.1-8B-SuperNova-EtherealHermes
  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: 73.39
      name: strict accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes
      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: 32.07
      name: normalized accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes
      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: 17.45
      name: exact match
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes
      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: 5.7
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes
      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: 11.32
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes
      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: 30.5
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes
      name: Open LLM Leaderboard
---


# ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes

## 🌌 Overview

**ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes** is a cutting-edge fusion of top-tier Llama 3.1 models, meticulously crafted to balance **powerful instruction-following**, **immersive storytelling**, and **logical reasoning**. This merge integrates the strengths of **SuperNova**, **EtherealHermes**, and additional high-performance models, resulting in an adaptable and dynamic AI.


This model is governed by the **Meta Llama 3.1 Community License Agreement** and is optimized for **long-form generation**, **multi-step reasoning**, and **roleplay applications**.

---

## 🚀 Key Features

- **Advanced Instruction Following** – Leverages high-context retention for accurate and logical responses.
- **Enhanced Roleplay & Storytelling** – Supports immersive dialogue, lore-building, and dynamic narrative generation.
- **Long-Form Content Generation** – Capable of producing detailed, coherent text over extended passages.
- **Adaptive Multi-Domain Performance** – Handles research, fiction writing, technical content, and conversation seamlessly.
- **Highly Efficient Processing** – Optimized quantization and inference mechanisms ensure smooth deployment.

---

## 🧠 Merged Models

This model is the result of a carefully calibrated merge of the following models:

- **[djuna/L3.1-Purosani-2-8B](https://huggingface.co/djuna/L3.1-Purosani-2-8B)** – A high-performance Llama 3.1 model emphasizing **instruction-following** and **contextual coherence**.
- **[invisietch/L3.1-EtherealRainbow-v1.0-rc1-8B](https://huggingface.co/invisietch/L3.1-EtherealRainbow-v1.0-rc1-8B)** – Focuses on **creative storytelling**, **world-building**, and **conversational depth**.
- **[ZeroXClem/L3SAO-Mix-SuperHermes-NovaPurosani-8B](https://huggingface.co/ZeroXClem/L3SAO-Mix-SuperHermes-NovaPurosani-8B)** – A hybrid powerhouse that integrates **Hermes3**, **SuperNova**, and **Purosani** architectures.
- **[ZeroXClem/Llama3.1-Hermes3-SuperNova-8B-L3.1-Purosani-2-8B](https://huggingface.co/ZeroXClem/Llama3.1-Hermes3-SuperNova-8B-L3.1-Purosani-2-8B)** – Enhances **multi-step inference**, **logical alignment**, and **long-form composition**.

This curated selection ensures the model is equipped with both **technical precision** and **artistic creativity**.

---

## 🔧 Merge Configuration

The model was merged using **Model Stock** methodology with **bfloat16** precision to ensure a seamless blend of capabilities. The YAML configuration is as follows:

```yaml
# Merge configuration for ZeroXClem-Llama-3.1-8B-SuperNova-EtherealHermes using MODEL STOCK

name: ZeroXClem-Llama-3.1-8B-SuperNova-EtherealHermes
base_model: invisietch/L3.1-EtherealRainbow-v1.0-rc1-8B
dtype: bfloat16
merge_method: model_stock
models:
  - model: ZeroXClem/L3SAO-Mix-SuperHermes-NovaPurosani-8B
  - model: ZeroXClem/Llama3.1-Hermes3-SuperNova-8B-L3.1-Purosani-2-8B
  - model: djuna/L3.1-Purosani-2-8B
  - model: ZeroXClem/Llama-3.1-8B-SuperTulu-LexiNova
tokenizer_source: invisietch/L3.1-EtherealRainbow-v1.0-rc1-8B

```

This ensures **logical coherence**, **creative diversity**, and **robust performance** across various AI tasks.

---

## 🛠 How to Use

### 🔥 Ollama (Quick Inference)

You can run the model using **Ollama** for direct testing:

```bash
ollama run hf.co/ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes-Q4_K_M-GGUF
```

### 🤗 Hugging Face Transformers (Python)

```python
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
import torch

model_name = "ZeroXClem/Llama-3.1-8B-SuperNova-EtherealHermes"

# Load tokenizer & model
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name, 
    torch_dtype=torch.bfloat16, 
    device_map="auto"
)

# Initialize text generation pipeline
text_generator = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)

# Example prompt
prompt = "Describe the significance of AI ethics in modern technology."

# Generate output
outputs = text_generator(
    prompt,
    max_new_tokens=200,
    do_sample=True,
    temperature=0.7,
    top_k=50,
    top_p=0.95
)

print(outputs[0]["generated_text"])
```

---

## 📌 Best Practices

- **Use System Prompts:**  
  For best performance, add a system instruction before inference:  
  `"Think step by step with logical reasoning before providing any response."`
  
- **Uncensored Mode:**  
  For more unrestricted output, set the system message to `"."` or customize it accordingly.

- **Quantization Considerations:**  
  - `Q4` may lead to refusal issues due to loss of fine-tuning alignment.  
  - `F16` or `Q8` is recommended for **optimal inference quality**.

---

## 📜 License

This model is released under the **Meta Llama 3.1 Community License Agreement**.

⚠ **Disclaimer:** This model is highly compliant and **uncensored**. It is the user's responsibility to ensure ethical and appropriate usage, especially in public-facing applications.

---

## 💡 Future Improvements

- **Enhanced ethical alignment while preserving model capabilities.**
- **Further fine-tuning for domain-specific reasoning tasks.**
- **Expanded dataset integration for better real-world knowledge representation.**

---

## ❤️ Special Thanks

A heartfelt thank you to:

- **djuna** for **L3.1-Purosani-2-8B**.
- **invisietch** for **L3.1-EtherealRainbow**.
- **MergeKit Community** for advancing open-source merging techniques.
- The **🤗 Hugging Face & Open-Source AI** ecosystem for continued AI innovation.

Your contributions fuel the progress of **next-gen AI models**! 🚀💜

---

## 📢 Feedback & Contributions

If you encounter any issues, have suggestions, or wish to contribute, feel free to open a **discussion** or submit a **pull request**.

---
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/ZeroXClem__Llama-3.1-8B-SuperNova-EtherealHermes-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |28.41|
|IFEval (0-Shot)    |73.39|
|BBH (3-Shot)       |32.07|
|MATH Lvl 5 (4-Shot)|17.45|
|GPQA (0-shot)      | 5.70|
|MuSR (0-shot)      |11.32|
|MMLU-PRO (5-shot)  |30.50|