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

Unsup Qwen3 1.7B Datav3 Only Mask 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 and how large is it?

Unsup Qwen3 1.7B Datav3 Only Mask 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?

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

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

Unsup Qwen3 1.7B Datav3 Only Mask is an open-source language model by ferrazzipietro. Features: 1.7b LLM, VRAM: 4.1GB, Context: 40K, LLM Explorer Score: 0.24.

Qwen3 Region:us Safetensors

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

Unsup Qwen3 1.7B Datav3 Only Mask Benchmarks

LLME Score: 0.23516

^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 (ferrazzipietro/unsup-Qwen3-1.7B-datav3-only_mask)

Unsup Qwen3 1.7B Datav3 Only Mask Parameters and Internals

LLM Name	Unsup Qwen3 1.7B Datav3 Only Mask
Repository 🤗	https://huggingface.co/ferrazzipietro/unsup-Qwen3-1.7B-datav3-only_mask
Model Size	1.7b
Required VRAM	4.1 GB
Updated	2026-07-25
Maintainer	ferrazzipietro
Model Type	qwen3
Model Files	4.1 GB 0.0 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

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	174	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2375	1
Qwen3 1.7B	40K / 4 GB	5633291	500
DualMind TKD Agentic 1.7B	40K / 3.4 GB	1417	0
15kDPO	40K / 3.4 GB	271	0
Supertron2 1.7B	40K / 3.4 GB	248	7
OpenClaude 1.7B Merged	40K / 3.5 GB	92	0
Safety Model	40K / 3.4 GB	231	0
...1.7B Customer Support Deferral	40K / 4 GB	53	0

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

Rank the Unsup Qwen3 1.7B Datav3 Only Mask 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 by ferrazzipietro

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Unsup Qwen3 1.7B Datav3 Only Mask Benchmarks

Unsup Qwen3 1.7B Datav3 Only Mask Parameters and Internals

Best Alternatives to Unsup Qwen3 1.7B Datav3 Only Mask

Rank the Unsup Qwen3 1.7B Datav3 Only Mask Capabilities

What open-source LLMs or SLMs are you in search of? 55396 in total.