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Aether Qwen2 0.5B SFT V0.0.2 by thesven

 »  All LLMs  »  thesven  »  Aether Qwen2 0.5B SFT V0.0.2   URL Share it on

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  Aether code   Autotrain compatible   Code   Conversational   Dataset:thesven/aethercode-v1   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Trl
Model Card on HF 🤗: https://huggingface.co/thesven/Aether-Qwen2-0.5B-SFT-v0.0.2 

Aether Qwen2 0.5B SFT V0.0.2 Benchmarks

LLME Score: 0.19544
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aether Qwen2 0.5B SFT V0.0.2 (thesven/Aether-Qwen2-0.5B-SFT-v0.0.2)

Aether Qwen2 0.5B SFT V0.0.2 Parameters and Internals

Model Type 
transformer, coding task assistance
Use Cases 
Areas:
software development
Applications:
code completion, error detection, code optimization suggestions
Primary Use Cases:
automated coding tasks, code review, programming assistance
Limitations:
general natural language processing tasks
Additional Notes 
Designed to enhance its performance in software development contexts with fine-tuning.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
AetherCode-v1 dataset
Methodology:
Supervised Fine-Tuning (SFT)
Hardware Used:
RTX 4500
Input Output 
Input Format:
Prompt Template Context
Accepted Modalities:
text
Output Format:
structured text outputs for code
LLM NameAether Qwen2 0.5B SFT V0.0.2
Repository 🤗https://huggingface.co/thesven/Aether-Qwen2-0.5B-SFT-v0.0.2 
Model Size0.5b
Required VRAM2 GB
Updated2025-02-22
Maintainerthesven
Model Typeqwen2
Model Files  2.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.42.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than thesven/Aether-Qwen2-0.5B-SFT-v0.0.2.

Rank the Aether Qwen2 0.5B SFT V0.0.2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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