TINY THINKER INSTRUCT by Shrijanagain

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TINY THINKER INSTRUCT is an open-source language model by Shrijanagain. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.32.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational Dataset:shrijanagain/distillat...   Distillation   En   Endpoints compatible   Gguf   Instruct   Q4   Quantized   Qwen   Qwen2   Region:us   Safetensors   Sharded   Shrijan   Skt   Tensorflow   Thinker

TINY THINKER INSTRUCT Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

TINY THINKER INSTRUCT Parameters and Internals

LLM NameTINY THINKER INSTRUCT
Repository 🤗https://huggingface.co/Shrijanagain/TINY-THINKER-INSTRUCT 
Base Model(s)  Qwen/Qwen2.5-Coder-3B   Qwen/Qwen2.5-Coder-3B
Model Size3b
Required VRAM6.2 GB
Updated2026-07-04
MaintainerShrijanagain
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2   1.9 GB   2.5 GB   3.3 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version5.12.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Shrijanagain/TINY-THINKER-INSTRUCT.

Rank the TINY THINKER INSTRUCT 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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Release v20260328a