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---
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
```rust
// 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
```bibtex
@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. |