Qwen3 1.7B Tamil 16bit Instruct by sabaridsnfuji

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Qwen3 1.7B Tamil 16bit Instruct is an open-source language model by sabaridsnfuji. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

  4bit   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen3   Region:us   Safetensors   Unsloth

Qwen3 1.7B Tamil 16bit Instruct Benchmarks

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

Qwen3 1.7B Tamil 16bit Instruct Parameters and Internals

LLM NameQwen3 1.7B Tamil 16bit Instruct
Repository 🤗https://huggingface.co/sabaridsnfuji/Qwen3-1.7B-tamil-16bit-Instruct 
Base Model(s)  unsloth/qwen3-1.7b-unsloth-bnb-4bit   unsloth/qwen3-1.7b-unsloth-bnb-4bit
Model Size1.7b
Required VRAM3.4 GB
Updated2026-05-11
Maintainersabaridsnfuji
Model Typeqwen3
Instruction-BasedYes
Model Files  3.4 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.56.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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...ruct Fast CODER Reasoning 2.4B40K / 9.7 GB91
... Instruct CODER Reasoning 2.7B40K / 11 GB80
Qwen3 1.7B ShiningValiant340K / 6.9 GB95
Note: green Score (e.g. "73.2") means that the model is better than sabaridsnfuji/Qwen3-1.7B-tamil-16bit-Instruct.

Rank the Qwen3 1.7B Tamil 16bit Instruct 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