What are the hardware requirements for Unsup Qwen3 1.7B Datav3 Only Mask W Item?

Unsup Qwen3 1.7B Datav3 Only Mask W Item requires approximately 4.1 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 Unsup Qwen3 1.7B Datav3 Only Mask W Item and how large is it?

Unsup Qwen3 1.7B Datav3 Only Mask W Item is developed by ferrazzipietro, 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 Unsup Qwen3 1.7B Datav3 Only Mask W Item?

Unsup Qwen3 1.7B Datav3 Only Mask W Item is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Unsup Qwen3 1.7B Datav3 Only Mask W Item by ferrazzipietro — VRAM 4.1GB, 40K context

Name: Unsup Qwen3 1.7B Datav3 Only Mask W Item
Author: ferrazzipietro

Unsup Qwen3 1.7B Datav3 Only Mask W Item is an open-source language model by ferrazzipietro. Features: 1.7b LLM, VRAM: 4.1GB, Context: 40K, LLM Explorer Score: 0.23.

Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ferrazzipietro/unsup-Qwen3-1.7B-datav3-only_mask_w_item

Unsup Qwen3 1.7B Datav3 Only Mask W Item Parameters and Internals

LLM Name	Unsup Qwen3 1.7B Datav3 Only Mask W Item
Repository 🤗	https://huggingface.co/ferrazzipietro/unsup-Qwen3-1.7B-datav3-only_mask_w_item
Model Size	1.7b
Required VRAM	4.1 GB
Updated	2026-08-07
Maintainer	ferrazzipietro
Model Type	qwen3
Model Files	4.1 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Unsup Qwen3 1.7B Datav3 Only Mask W Item 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 Unsup Qwen3 1.7B Datav3 Only Mask W Item

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Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
RIFA FLASH 1.7B	40K / 3.4 GB	583	0
DualMind TKD Agentic 1.7B	40K / 3.4 GB	1798	0
Atomight V2.5 1.7B	40K / 3.4 GB	1406	1
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	204	1
... 1.7B Base MED ChatVector 0812	40K / 3.4 GB	49	1
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Note: green Score (e.g. "73.2") means that the model is better than ferrazzipietro/unsup-Qwen3-1.7B-datav3-only_mask_w_item.