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Deepseek Paraphrase by PeterAM4

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Deepseek Paraphrase is an open-source language model by PeterAM4. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: mit, LLM Explorer Score: 0.19.

Base model:adapter:deepseek-ai... Base model:deepseek-ai/deepsee...   Conversational   Dataset:quora   Deepseek   En   Lora   Paraphrase   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PeterAM4/deepseek-paraphrase 

Deepseek Paraphrase Benchmarks

LLME Score: 0.19373
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseek Paraphrase (PeterAM4/deepseek-paraphrase)
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Deepseek Paraphrase Parameters and Internals

LLM NameDeepseek Paraphrase
Repository 🤗https://huggingface.co/PeterAM4/deepseek-paraphrase 
Base Model(s)  DeepSeek R1 Distill Qwen 7B   deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-09-23
MaintainerPeterAM4
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizerFast
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size152064
Torch Data Typebfloat16

Best Alternatives to Deepseek Paraphrase

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB50
Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B V1.1986K / 15.2 GB61
Hush Qwen2.5 7B Preview986K / 15.2 GB400
Hush Qwen2.5 7B V1.4986K / 15.2 GB41
Hush Qwen2.5 7B V1.3986K / 15.2 GB42
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen 2.5 7B Exp Sce986K / 15.2 GB232
Qwen2.5 7B MixStock V0.1986K / 15.2 GB433
Note: green Score (e.g. "73.2") means that the model is better than PeterAM4/deepseek-paraphrase.

Rank the Deepseek Paraphrase 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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