TBH.AI Vortex Reasoning by saishshinde15

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TBH.AI Vortex Reasoning is an open-source language model by saishshinde15. Features: 3.1b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

  Advanced-finetuning   Autotrain compatible Base model:finetune:saishshind... Base model:saishshinde15/tbh.a...   Conversational   Deepseekr1   En   Endpoints compatible   Qwen2   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Trl

TBH.AI Vortex Reasoning Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TBH.AI Vortex Reasoning (saishshinde15/TBH.AI_Vortex_Reasoning)
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TBH.AI Vortex Reasoning Parameters and Internals

LLM NameTBH.AI Vortex Reasoning
Repository ๐Ÿค—https://huggingface.co/saishshinde15/TBH.AI_Vortex_Reasoning 
Base Model(s)  TethysAI Base Reasoning   saishshinde15/TethysAI_Base_Reasoning
Model Size3.1b
Required VRAM6.2 GB
Updated2025-08-08
Maintainersaishshinde15
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Saba Passthrough 2128K / 6.2 GB50
OpenCognito R232K / 6.2 GB2590
TethysAI Vortex Reasoning32K / 6.2 GB110
Bbhqwen32K / 12.3 GB60
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Bbhqwen432K / 12.3 GB90
Bbhqwen532K / 12.3 GB80
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Bbhqwen632K / 12.3 GB60
Tamed Sigma32K / 6.2 GB60
Note: green Score (e.g. "73.2") means that the model is better than saishshinde15/TBH.AI_Vortex_Reasoning.

Rank the TBH.AI Vortex Reasoning 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 v20260328a