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Deepsync 240 GGUF by prithivMLmods

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Deepsync 240 GGUF is an open-source language model by prithivMLmods. Features: 3b LLM, VRAM: 2GB, License: creativeml-openrail-m, Quantized, LLM Explorer Score: 0.17.

  240 maxed out   3b Base model:prithivmlmods/llama... Base model:quantized:prithivml...   Code   Conversational   Cot   De   Deepsync   En   Endpoints compatible   Es   Fr   Gguf   Hi   It   Llama   Math   Ollama   Pt   Quantized   Region:us   Th
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Deepsync-240-GGUF 

Deepsync 240 GGUF Benchmarks

LLME Score: 0.1706
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepsync 240 GGUF (prithivMLmods/Deepsync-240-GGUF)
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Deepsync 240 GGUF Parameters and Internals

LLM NameDeepsync 240 GGUF
Repository 🤗https://huggingface.co/prithivMLmods/Deepsync-240-GGUF 
Base Model(s)  Llama Deepsync 3B   prithivMLmods/Llama-Deepsync-3B
Model Size3b
Required VRAM2 GB
Updated2026-04-28
MaintainerprithivMLmods
Model Typellama
Model Files  6.4 GB   2.0 GB   2.3 GB   3.4 GB
Supported Languagesen de fr it pt hi es th
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecreativeml-openrail-m

Best Alternatives to Deepsync 240 GGUF

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Context / RAM
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Llama32 3B En Emo V3128K / 2 GB120
Llama 3.2 3B VanRossum0K / 6.5 GB1050
Legal Llama3 Lora Model0K / 3.4 GB100
...ma Doctor 3.2 3B Instruct GGUF0K / 2 GB19057
MedQwen3B Reasoner0K / 6.2 GB21013
Llama Deepsync 3B GGUF0K / 2 GB3454
Llama Chat Summary 3.2 3B GGUF0K / 2 GB4674
...a Song Stream 3B Instruct GGUF0K / 2 GB2956
... Sentient 3.2 3B Instruct GGUF0K / 2 GB2098
QwQ LCoT 3B Instruct GGUF0K / 1.9 GB277
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Deepsync-240-GGUF.

Rank the Deepsync 240 GGUF Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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