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: 0.29.

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 Benchmarks

LLME Score: 0.28689

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

What is the LLM Explorer Rank (Score)

Unsup Qwen3 1.7B Datav3 Only Mask W Item (ferrazzipietro/unsup-Qwen3-1.7B-datav3-only_mask_w_item)

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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	2026-05-31
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

Best Alternatives to Unsup Qwen3 1.7B Datav3 Only Mask W Item

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	2730	109
Polaris 1.7B Preview	128K / 3.4 GB	41	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	1105	1
Qwen3 1.7B	40K / 4 GB	4405505	475
Supertron2 1.7B	40K / 3.4 GB	3046	7
Safety Model	40K / 3.4 GB	1100	0
15kDPO	40K / 3.4 GB	271	0
...up Qwen3 1.7B Datav3 Only Mask	40K / 4.1 GB	2256	0
Math Model	40K / 3.4 GB	854	0
Safety Model	40K / 3.4 GB	722	0

Note: green Score (e.g. "73.2") means that the model is better than ferrazzipietro/unsup-Qwen3-1.7B-datav3-only_mask_w_item.

Rank the Unsup Qwen3 1.7B Datav3 Only Mask W Item 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

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Unsup Qwen3 1.7B Datav3 Only Mask W Item by ferrazzipietro

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Unsup Qwen3 1.7B Datav3 Only Mask W Item Benchmarks

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

Best Alternatives to Unsup Qwen3 1.7B Datav3 Only Mask W Item

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

What open-source LLMs or SLMs are you in search of? 54358 in total.