What are the hardware requirements for Qwen3 1.7B HendrycksMATH SFT?

Qwen3 1.7B HendrycksMATH SFT requires approximately 3.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B HendrycksMATH SFT and how large is it?

Qwen3 1.7B HendrycksMATH SFT is developed by AmirFazlollahi, 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 Qwen3 1.7B HendrycksMATH SFT?

Qwen3 1.7B HendrycksMATH SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B HendrycksMATH SFT by AmirFazlollahi — VRAM 3.4GB, 32K context

Name: Qwen3 1.7B HendrycksMATH SFT
Author: AmirFazlollahi

Qwen3 1.7B HendrycksMATH SFT is an open-source language model by AmirFazlollahi. Features: 1.7b LLM, VRAM: 3.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-1.7b-... Conversational En Endpoints compatible Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/AmirFazlollahi/Qwen3-1.7B-HendrycksMATH-SFT

Qwen3 1.7B HendrycksMATH SFT Parameters and Internals

LLM Name	Qwen3 1.7B HendrycksMATH SFT
Repository 🤗	https://huggingface.co/AmirFazlollahi/Qwen3-1.7B-HendrycksMATH-SFT
Base Model(s)	unsloth/Qwen3-1.7B-Base unsloth/Qwen3-1.7B-Base
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-10-20
Maintainer	AmirFazlollahi
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 1.7B HendrycksMATH SFT capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
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Best Alternatives to Qwen3 1.7B HendrycksMATH SFT

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Reaper Base	128K / 3.4 GB	393	0
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
Boole 1.7B	40K / 0.2 GB	539	9
Qwen3 1.7B SPFT Ultrafeedback	40K / 3.4 GB	312	1
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CORe Pico 4	40K / 3.4 GB	895	2

Note: green Score (e.g. "73.2") means that the model is better than AmirFazlollahi/Qwen3-1.7B-HendrycksMATH-SFT.