TBH.AI Base Reasoning by saishshinde15

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TBH.AI Base Reasoning is an open-source language model by saishshinde15. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

  4bit   Ara   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins...   Conversational   Deu   Endpoints compatible   Eng   Fra   Grpo   Instruct   Ita   Jpn   Kor   Por   Quantized   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Trl   Vie   Zho

TBH.AI Base 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 Base Reasoning Parameters and Internals

LLM NameTBH.AI Base Reasoning
Repository 🤗https://huggingface.co/saishshinde15/TBH.AI_Base_Reasoning 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM6.2 GB
Updated2025-08-06
Maintainersaishshinde15
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than saishshinde15/TBH.AI_Base_Reasoning.

Rank the TBH.AI Base 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