What are the hardware requirements for Qwen3 1.7B Sft Pretrained?

Qwen3 1.7B Sft Pretrained 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 Qwen3 1.7B Sft Pretrained and how large is it?

Qwen3 1.7B Sft Pretrained is developed by fireworks1231, 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 Sft Pretrained?

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

Qwen3 1.7B Sft Pretrained by fireworks1231 — VRAM 3.4GB, 40K context

Name: Qwen3 1.7B Sft Pretrained
Author: fireworks1231

Qwen3 1.7B Sft Pretrained is an open-source language model by fireworks1231. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

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/fireworks1231/qwen3-1.7b-sft-pretrained

Qwen3 1.7B Sft Pretrained Parameters and Internals

LLM Name	Qwen3 1.7B Sft Pretrained
Repository 🤗	https://huggingface.co/fireworks1231/qwen3-1.7b-sft-pretrained
Base Model(s)	unsloth/Qwen3-1.7B unsloth/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-25
Maintainer	fireworks1231
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Qwen3 1.7B Sft Pretrained capabilities

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Instruction Following and Task Automation
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Multi-Language Support and Translation

Best Alternatives to Qwen3 1.7B Sft Pretrained

Best Alternatives	Context / RAM	Downloads	Likes
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 fireworks1231/qwen3-1.7b-sft-pretrained.