Llama3.1-8B-Titanium-Forge

Llama3.1-8B-Titanium-Forge is a robust, multi-disciplinary large language model (LLM) designed for a wide range of technical and creative applications. The model merges the most powerful elements from ShiningValiant2, Cobalt, Fireplace2, and Enigma, resulting in an exceptionally versatile system that excels in general-purpose reasoning, structured outputs, code generation, and immersive conversations.

This model's goal is to blend high-level technical knowledge, including advanced mathematics and programming, with rich conversational abilities and structured data outputs.

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🛠️ Model Merge Details

This model was created using the model_stock merge method, balancing contributions from all source models across the full range of its layers. This ensures that Titanium Forge retains a well-rounded skillset, including technical expertise, mathematical prowess, conversational skills, and more.

base_model: ValiantLabs/Llama3.1-8B-ShiningValiant2
dtype: float32
merge_method: model_stock
slices:
  - sources:
    - layer_range: [0, 32]
      model: ValiantLabs/Llama3.1-8B-Cobalt
    - layer_range: [0, 32]
      model: ValiantLabs/Llama3.1-8B-Fireplace2
    - layer_range: [0, 32]
      model: ValiantLabs/Llama3.1-8B-Enigma
    - layer_range: [0, 32]
      model: ValiantLabs/Llama3.1-8B-ShiningValiant2
out_dtype: bfloat16

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🔍 Key Features & Capabilities

1. Conversational Mastery:

Powered by Shining Valiant 2, the model is optimized for engaging, friendly conversations with a focus on insight and knowledge. It’s perfect for a wide range of conversational agents and interactive systems.

2. Mathematics & Structured Reasoning:

Thanks to Cobalt, this model excels in mathematical reasoning and structured problem-solving. Whether solving complex equations or breaking down logical problems, Titanium Forge is equipped for precision and clarity.

3. Enhanced Technical & Code Capabilities:

Incorporating Enigma, this model shines in code generation and technical instruction. It’s particularly adept at explaining programming concepts, generating high-quality code, and responding to technical queries.

4. Structured Output & Data Handling:

With the contributions of Fireplace2, this model can generate structured outputs like SQL queries, JSON objects, and even data visualizations. This makes it ideal for use cases where structured data handling is essential.

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🚀 Use Cases

• Technical Assistance: Provide advanced technical support and guidance in areas like software development, debugging, and hardware.
• Educational Support: Assist students or professionals in learning complex subjects such as mathematics, science, and programming.
• Conversational Agents: Deploy as an intelligent assistant that can engage users with deep, insightful discussions and helpful responses.
• Data Science & Analysis: Use for generating structured outputs like SQL queries, JSON data, or even generating data visualizations for analysis tasks.
• Creative Writing: Leverage its storytelling capabilities to create rich narratives and engage in roleplaying scenarios.

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🌟 Source Models

A: ValiantLabs/Llama3.1-8B-ShiningValiant2

• Optimized for general chat, technical support, and structured reasoning, Shining Valiant 2 adds personality, enthusiasm, and a strong grasp of scientific topics.

B: ValiantLabs/Llama3.1-8B-Cobalt

• A math-instruct model built for advanced mathematical reasoning and structured problem-solving, perfect for technical tasks that require precision.

C: ValiantLabs/Llama3.1-8B-Fireplace2

• Specializes in structured data outputs, including function calls, SQL queries, and JSON formatting, providing flexibility for technical and data-driven conversations.

D: ValiantLabs/Llama3.1-8B-Enigma

• A code-instruct model designed for software development and technical explanations, Enigma adds depth to the model’s programming and coding capabilities.

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📜 License

This model is open-sourced under the Apache-2.0 License, allowing free use, modification, and distribution with proper attribution.

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