What are the hardware requirements for Delivery Qwen2.5 7B Driver?

Delivery Qwen2.5 7B Driver requires approximately 6.2 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 Delivery Qwen2.5 7B Driver and how large is it?

Delivery Qwen2.5 7B Driver is developed by sonysum, a model with 3b 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 Delivery Qwen2.5 7B Driver?

Delivery Qwen2.5 7B Driver is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Delivery Qwen2.5 7B Driver by sonysum — VRAM 6.2GB, 32K context

Name: Delivery Qwen2.5 7B Driver
Author: sonysum

Delivery Qwen2.5 7B Driver is an open-source language model by sonysum. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.32.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-3b-... Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/sonysum/delivery-qwen2.5-7b-driver

Delivery Qwen2.5 7B Driver Parameters and Internals

LLM Name	Delivery Qwen2.5 7B Driver
Repository 🤗	https://huggingface.co/sonysum/delivery-qwen2.5-7b-driver
Base Model(s)	unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-10-16
Maintainer	sonysum
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
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

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