What are the hardware requirements for Anonymizer 1.7B SFTonly?

Anonymizer 1.7B SFTonly 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 Anonymizer 1.7B SFTonly and how large is it?

Anonymizer 1.7B SFTonly is developed by eternisai, 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 Anonymizer 1.7B SFTonly?

Anonymizer 1.7B SFTonly is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Anonymizer 1.7B SFTonly by eternisai — VRAM 3.4GB, 40K context

Name: Anonymizer 1.7B SFTonly
Author: eternisai

Anonymizer 1.7B SFTonly is an open-source language model by eternisai. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: mit, LLM Explorer Score: 0.19.

Anonymization Conversational En Privacy Qwen Qwen3 Region:us Safetensors Tool-calling

Model Card on HF 🤗: https://huggingface.co/eternisai/anonymizer-1.7B-SFTonly

Anonymizer 1.7B SFTonly Parameters and Internals

LLM Name	Anonymizer 1.7B SFTonly
Repository 🤗	https://huggingface.co/eternisai/anonymizer-1.7B-SFTonly
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-04
Maintainer	eternisai
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Anonymizer 1.7B SFTonly capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Anonymizer 1.7B SFTonly

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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
CORe Pico 4	40K / 3.4 GB	895	2
...en3 1.7B Teacher Note Severity	40K / 3.4 GB	386	0
CORe Pico V3	40K / 3.4 GB	720	0
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
Qwen3 1.7B ONNX Web	40K / GB	178	1
RIFA FLASH 1.7B	40K / 3.4 GB	583	0

Note: green Score (e.g. "73.2") means that the model is better than eternisai/anonymizer-1.7B-SFTonly.