What are the hardware requirements for Distil Qwen3 1.7B Customer Support Deferral?

Distil Qwen3 1.7B Customer Support Deferral requires approximately 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 Distil Qwen3 1.7B Customer Support Deferral and how large is it?

Distil Qwen3 1.7B Customer Support Deferral is developed by distil-labs, 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 Distil Qwen3 1.7B Customer Support Deferral?

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

Distil Qwen3 1.7B Customer Support Deferral by distil-labs — VRAM 4GB, 40K context

Name: Distil Qwen3 1.7B Customer Support Deferral
Author: distil-labs

Distil Qwen3 1.7B Customer Support Deferral is an open-source language model by distil-labs. Features: 1.7b LLM, VRAM: 4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.24.

Airline Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Customer-support Deferral Distil-labs En Endpoints compatible Function-calling Model-cascade Qwen3 Region:us Safetensors Sharded Tensorflow Tool-calling

Model Card on HF 🤗: https://huggingface.co/distil-labs/distil-qwen3-1.7b-customer-support-deferral

Distil Qwen3 1.7B Customer Support Deferral Parameters and Internals

LLM Name	Distil Qwen3 1.7B Customer Support Deferral
Repository 🤗	https://huggingface.co/distil-labs/distil-qwen3-1.7b-customer-support-deferral
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	4 GB
Updated	2026-07-06
Maintainer	distil-labs
Model Type	qwen3
Model Files	3.4 GB: 1-of-2 0.6 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
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

Rank the Distil Qwen3 1.7B Customer Support Deferral capabilities

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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 Distil Qwen3 1.7B Customer Support Deferral

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
CORe Pico V3	40K / 3.4 GB	720	0
Qwen3 1.7B ONNX Web	40K / GB	178	1
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
RIFA FLASH 1.7B	40K / 3.4 GB	583	0
DualMind TKD Agentic 1.7B	40K / 3.4 GB	1798	0

Note: green Score (e.g. "73.2") means that the model is better than distil-labs/distil-qwen3-1.7b-customer-support-deferral.