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Pythia 70M Synonym Sentence Converter by Mxode

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Pythia 70M Synonym Sentence Converter is an open-source language model by Mxode. Features: 70m LLM, VRAM: 0.1GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.1.

  Autotrain compatible   Converter   En   Endpoints compatible   Gpt neox   Pytorch   Region:us   Safetensors   Small   Synonym   Tiny   Tool
Model Card on HF 🤗: https://huggingface.co/Mxode/Pythia-70m-Synonym-Sentence-Converter 

Pythia 70M Synonym Sentence Converter Benchmarks

LLME Score: 0.09989
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 70M Synonym Sentence Converter (Mxode/Pythia-70m-Synonym-Sentence-Converter)
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Pythia 70M Synonym Sentence Converter Parameters and Internals

Model Type 
paraphrasing, synonym substitution
Use Cases 
Areas:
research, commercial applications
Applications:
paraphrasing tools, language transformation
Primary Use Cases:
synonym substitution
Additional Notes 
This is an experimental model aiming to support multiple languages in future iterations.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
custom dataset
Methodology:
fine-tuned using Q-Lora
Model Architecture:
GPT-NeoX
Input Output 
Input Format:
Single or simple sentences in English
Accepted Modalities:
text
Output Format:
Paraphrased or synonym-substituted sentences
Performance Tips:
Adjust hyperparameters like temperature and repetition penalty for optimal output.
LLM NamePythia 70M Synonym Sentence Converter
Repository 🤗https://huggingface.co/Mxode/Pythia-70m-Synonym-Sentence-Converter 
Model Size70m
Required VRAM0.1 GB
Updated2025-09-23
MaintainerMxode
Model Typegpt_neox
Model Files  0.1 GB   0.1 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.33.3
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Mxode/Pythia-70m-Synonym-Sentence-Converter.

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