Update README.md

README.md

@@ -4,13 +4,39 @@ tags:
 - merge
 - mergekit
 - lazymergekit
+- bfloat16
+- text-generation-inference
+- model_stock
+- crypto
+- finance
+- llama
+language:
+- en
+base_model:
+- Chainbase-Labs/Theia-Llama-3.1-8B-v1
+- EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO
+- mukaj/Llama-3.1-Hawkish-8B
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
 # ZeroXClem/LLama3.1-Hawkish-Theia-Fireball-8B
 
-ZeroXClem/LLama3.1-Hawkish-Theia-Fireball-8B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+**ZeroXClem/LLama3.1-Hawkish-Theia-Fireball-8B** is an advanced language model meticulously crafted by merging three pre-trained models using the powerful [mergekit](https://github.com/cg123/mergekit) framework. This fusion leverages the **Model Stock** merge method to combine the specialized capabilities of **Theia-Llama**, **Fireball-Meta-Llama**, and **Llama-Hawkish**. The resulting model excels in creative text generation, technical instruction following, financial reasoning, and dynamic conversational interactions.
 
-## 🧩 Configuration
+## 🚀 Merged Models
+
+This model merge incorporates the following:
+
+- [**Chainbase-Labs/Theia-Llama-3.1-8B-v1**](https://huggingface.co/Chainbase-Labs/Theia-Llama-3.1-8B-v1): Specializes in cryptocurrency-oriented knowledge, enhancing the model's ability to generate and comprehend crypto-related content with high accuracy and depth.
+
+- [**EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO**](https://huggingface.co/EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO): Focuses on instruction-following and coding capabilities, improving the model's performance in understanding and executing user commands, as well as generating executable code snippets.
+
+- [**mukaj/Llama-3.1-Hawkish-8B**](https://huggingface.co/mukaj/Llama-3.1-Hawkish-8B): Enhances financial reasoning and mathematical precision, enabling the model to handle complex financial analyses, economic discussions, and quantitative problem-solving with high proficiency.
+
+## 🧩 Merge Configuration
+
+The configuration below outlines how the models are merged using the **Model Stock** method. This approach ensures a balanced and effective integration of the unique strengths from each source model.
 
 ```yaml
 # Merge configuration for ZeroXClem/LLama3.1-Hawkish-Theia-Fireball-8B using Model Stock
@@ -24,5 +50,135 @@ base_model: mukaj/Llama-3.1-Hawkish-8B
 normalize: false
 int8_mask: true
 dtype: bfloat16
+```
+
+### Key Parameters
+
+- **Merge Method (`merge_method`):** Utilizes the **Model Stock** method, as described in [Model Stock](https://arxiv.org/abs/2403.19522), to effectively combine multiple models by leveraging their strengths.
+
+- **Models (`models`):** Specifies the list of models to be merged:
+  - **Chainbase-Labs/Theia-Llama-3.1-8B-v1:** Enhances cryptocurrency-oriented knowledge and content generation.
+  - **EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO:** Improves instruction-following and coding capabilities.
+  - **mukaj/Llama-3.1-Hawkish-8B:** Enhances financial reasoning and mathematical precision.
+
+- **Base Model (`base_model`):** Defines the foundational model for the merge, which is **mukaj/Llama-3.1-Hawkish-8B** in this case.
+
+- **Normalization (`normalize`):** Set to `false` to retain the original scaling of the model weights during the merge.
+
+- **INT8 Mask (`int8_mask`):** Enabled (`true`) to apply INT8 quantization masking, optimizing the model for efficient inference without significant loss in precision.
+
+- **Data Type (`dtype`):** Uses `bfloat16` to maintain computational efficiency while ensuring high precision.
+
+## 🏆 Performance Highlights
+
+- **Cryptocurrency Knowledge:** Enhanced ability to generate and comprehend crypto-related content, making the model highly effective for blockchain discussions, crypto market analysis, and related queries.
+
+- **Instruction Following and Coding:** Improved performance in understanding and executing user instructions, as well as generating accurate and executable code snippets, suitable for coding assistance and technical support.
+
+- **Financial Reasoning and Mathematical Precision:** Advanced capabilities in handling complex financial analyses, economic discussions, and quantitative problem-solving, making the model ideal for financial modeling, investment analysis, and educational purposes.
+
+- **Smooth Weight Blending:** Utilization of the Model Stock method ensures a harmonious integration of different model attributes, resulting in balanced performance across various specialized tasks.
+
+- **Optimized Inference:** INT8 masking and `bfloat16` data type contribute to efficient computation, enabling faster response times without compromising quality.
+
+## 🎯 Use Case & Applications
+
+**ZeroXClem/LLama3.1-Hawkish-Theia-Fireball-8B** is designed to excel in environments that demand a combination of creative generation, technical instruction following, financial reasoning, and dynamic conversational interactions. Ideal applications include:
+
+- **Cryptocurrency Analysis and Reporting:** Generating detailed reports, analyses, and summaries related to blockchain projects, crypto markets, and financial technologies.
+
+- **Coding Assistance and Technical Support:** Providing accurate and executable code snippets, debugging assistance, and technical explanations for developers and technical professionals.
+
+- **Financial Modeling and Investment Analysis:** Assisting financial analysts and investors in creating models, performing economic analyses, and making informed investment decisions through precise calculations and reasoning.
+
+- **Educational Tools and Tutoring Systems:** Offering detailed explanations, answering complex questions, and assisting in educational content creation across subjects like finance, economics, and mathematics.
+
+- **Interactive Conversational Agents:** Powering chatbots and virtual assistants with specialized knowledge in cryptocurrency, finance, and technical domains, enhancing user interactions and support.
+
+- **Content Generation for Finance and Tech Blogs:** Creating high-quality, contextually relevant content for blogs, articles, and marketing materials focused on finance, technology, and cryptocurrency.
+
+## 📝 Usage
+
+To utilize **ZeroXClem/LLama3.1-Hawkish-Theia-Fireball-8B**, follow the steps below:
+
+### Installation
+
+First, install the necessary libraries:
+
+```bash
+pip install -qU transformers accelerate
+```
+
+### Example Code
+
+Below is an example of how to load and use the model for text generation:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+import torch
+
+# Define the model name
+model_name = "ZeroXClem/LLama3.1-Hawkish-Theia-Fireball-8B"
+
+# Load the tokenizer
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Load the model
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+
+# Initialize the pipeline
+text_generator = pipeline(
+    "text-generation",
+    model=model,
+    tokenizer=tokenizer,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+
+# Define the input prompt
+prompt = "Explain the impact of decentralized finance on traditional banking systems."
+
+# Generate the output
+outputs = text_generator(
+    prompt,
+    max_new_tokens=150,
+    do_sample=True,
+    temperature=0.7,
+    top_k=50,
+    top_p=0.95
+)
+
+# Print the generated text
+print(outputs[0]["generated_text"])
+```
+
+### Notes
+
+- **Fine-Tuning:** This merged model may require fine-tuning to optimize performance for specific applications or domains, especially in highly specialized fields like cryptocurrency and finance.
+
+- **Resource Requirements:** Ensure that your environment has sufficient computational resources, especially GPU-enabled hardware, to handle the model efficiently during inference.
+
+- **Customization:** Users can adjust parameters such as `temperature`, `top_k`, and `top_p` to control the creativity and diversity of the generated text, tailoring the model's output to specific needs.
+
+
+## 📜 License
+
+This model is open-sourced under the **Apache-2.0 License**.
+
+## 💡 Tags
 
-```
+- `merge`
+- `mergekit`
+- `model_stock`
+- `Llama`
+- `Hawkish`
+- `Theia`
+- `Fireball`
+- `ZeroXClem/LLama3.1-Hawkish-Theia-Fireball-8B`
+- `Chainbase-Labs/Theia-Llama-3.1-8B-v1`
+- `EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO`
+- `mukaj/Llama-3.1-Hawkish-8B`