What are the hardware requirements for Qwen3 1.7B Tamil 16bit Instruct?

Qwen3 1.7B Tamil 16bit Instruct requires approximately 3.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B Tamil 16bit Instruct and how large is it?

Qwen3 1.7B Tamil 16bit Instruct is developed by sabaridsnfuji, a model with 1.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3 1.7B Tamil 16bit Instruct?

Qwen3 1.7B Tamil 16bit Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B Tamil 16bit Instruct by sabaridsnfuji — VRAM 3.4GB, 40K context

Name: Qwen3 1.7B Tamil 16bit Instruct
Author: sabaridsnfuji

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: 0.19.

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

Model Card on HF 🤗: https://huggingface.co/sabaridsnfuji/Qwen3-1.7B-tamil-16bit-Instruct

Qwen3 1.7B Tamil 16bit Instruct Parameters and Internals

LLM Name	Qwen3 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 Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-31
Maintainer	sabaridsnfuji
Model Type	qwen3
Instruction-Based	Yes
Model Files	3.4 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.56.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

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

Best Alternatives to Qwen3 1.7B Tamil 16bit Instruct

Best Alternatives	Context / RAM	Downloads	Likes
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Supertron2 1.7B	40K / 3.4 GB	248	7
Fusionai	40K / 3.4 GB	28	0
...3 1.7B Instruction Noreasoning	40K / 3.4 GB	12020	12
Luth 1.7B Instruct	40K / 3.4 GB	98	14
...ruct Fast CODER Reasoning 2.4B	40K / 9.7 GB	9	1
... Instruct CODER Reasoning 2.7B	40K / 11 GB	8	0
Qwen3 1.7B ShiningValiant3	40K / 6.9 GB	9	5

Note: green Score (e.g. "73.2") means that the model is better than sabaridsnfuji/Qwen3-1.7B-tamil-16bit-Instruct.