What are the hardware requirements for Alexmt Qwen3 1.7B S2 From S1 Ck075?

Alexmt Qwen3 1.7B S2 From S1 Ck075 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 Alexmt Qwen3 1.7B S2 From S1 Ck075 and how large is it?

Alexmt Qwen3 1.7B S2 From S1 Ck075 is developed by unswnlporg, 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 Alexmt Qwen3 1.7B S2 From S1 Ck075?

Alexmt Qwen3 1.7B S2 From S1 Ck075 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alexmt Qwen3 1.7B S2 From S1 Ck075 by unswnlporg — VRAM 3.4GB, 40K context

Name: Alexmt Qwen3 1.7B S2 From S1 Ck075
Author: unswnlporg

Alexmt Qwen3 1.7B S2 From S1 Ck075 is an open-source language model by unswnlporg. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: cc-by-nc-4.0.

Acm Aeb Ajp Apc Ar Ary Arz Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Dataset:ubc-nlp/alexandria Dialectal-arabic En Machine-translation Qwen3 Region:us Safetensors Translation

Model Card on HF 🤗: https://huggingface.co/unswnlporg/alexmt-qwen3-1.7b-s2-from-s1-ck075

Alexmt Qwen3 1.7B S2 From S1 Ck075 Parameters and Internals

LLM Name	Alexmt Qwen3 1.7B S2 From S1 Ck075
Repository 🤗	https://huggingface.co/unswnlporg/alexmt-qwen3-1.7b-s2-from-s1-ck075
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-11-06
Maintainer	unswnlporg
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	ar en
Model Architecture	Qwen3ForCausalLM
License	cc-by-nc-4.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Alexmt Qwen3 1.7B S2 From S1 Ck075 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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Note: green Score (e.g. "73.2") means that the model is better than unswnlporg/alexmt-qwen3-1.7b-s2-from-s1-ck075.