base_model: cognitivecomputations/Qwen3-72B-Embiggened
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
- rust
- reasoning
- programming
- code
- coding
license: apache-2.0
language:
- en
datasets:
- Tesslate/Rust_Dataset
library_name: transformers
Overthinking-Rustacean-Behemoth
Model Details
Model Developer: Daemontatox
Model Type: Text Generation (Code-Specialized)
Language(s): English, Rust Programming Language
License: Apache 2.0
Finetuned from: cognitivecomputations/Qwen3-72B-Embiggened
Model Description
Overthinking-Rustacean-Behemoth is a specialized large language model fine-tuned for Rust programming tasks. Built on the Qwen3-72B architecture, this model represents the largest and most capable Rust-focused LLM currently available.
Key Features
- Specialized Rust Programming: Trained exclusively on Rust code and documentation
- Advanced Reasoning: Implements sophisticated problem-solving approach for complex coding challenges
- Code Completion: Provides intelligent code suggestions and completions
- Large Scale: 72B parameters provide extensive knowledge capacity
Training Details
Training Data
- Dataset: Tesslate/Rust_Dataset
- Size: 46,600 rows
- Content: Rust programming examples, documentation, and code patterns
Training Process
- Base Model: cognitivecomputations/Qwen3-72B-Embiggened
- Training Framework: Unsloth + Hugging Face TRL
- Performance: 2x faster training compared to standard methods
- Optimization: Fine-tuned specifically for Rust language patterns and idioms
Intended Use
Primary Applications
- Rust code generation and completion
- Debugging Rust programs
- Code review and optimization suggestions
- Learning Rust programming concepts
- Converting code from other languages to Rust
Limitations
- Specialized for Rust programming only
- May not perform optimally for general-purpose tasks
- Training data limited to available Rust examples as of training cutoff
Performance Characteristics
- Reasoning Capability: Enhanced logical thinking for complex programming problems
- Code Quality: Generates idiomatic Rust code following best practices
- Problem Solving: Breaks down complex coding challenges systematically
Technical Specifications
- Architecture: Qwen3-72B
- Parameters: 72 billion
- Training Efficiency: 2x speed improvement via Unsloth optimization
- Model Format: Safetensors
- Inference: Compatible with text-generation-inference
Usage Guidelines
Recommended Prompting
Structure prompts to clearly specify:
- Rust version compatibility requirements
- Specific functionality needed
- Performance constraints
- Error handling requirements
Example Usage
// Prompt: "Create a safe concurrent HashMap wrapper for Rust"
// Model will provide thread-safe implementation with proper error handling
Ethical Considerations
- Model outputs should be reviewed for security vulnerabilities
- Generated code requires testing before production use
- Follows Rust community guidelines and best practices
Citation
@misc{overthinking-rustacean-behemoth,
author = {Daemontatox},
title = {Overthinking-Rustacean-Behemoth: A Specialized Rust Programming Language Model},
year = {2024},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/Daemontatox/Overthinking-Rustacean-Behemoth}},
note = {Fine-tuned from cognitivecomputations/Qwen3-72B-Embiggened using Tesslate/Rust_Dataset}
}
Model Card Contact
For questions or issues regarding this model, contact: Daemontatox
TL;DR: 72B parameter Rust-specialized LLM fine-tuned from Qwen3-72B using 46.6k Rust examples. Optimized for code generation, debugging, and advanced reasoning in Rust programming tasks. Trained 2x faster with Unsloth framework.