TethysAI Base Reasoning by saishshinde15

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  4bit   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins...   Conversational   En   Endpoints compatible   Grpo   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl

TethysAI 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").
TethysAI Base Reasoning (saishshinde15/TethysAI_Base_Reasoning)

TethysAI Base Reasoning Parameters and Internals

LLM NameTethysAI Base Reasoning
Repository ๐Ÿค—https://huggingface.co/saishshinde15/TethysAI_Base_Reasoning 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM6.2 GB
Updated2025-02-25
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/TethysAI_Base_Reasoning.

Rank the TethysAI 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227