What are the hardware requirements for Qwen2 1.5B Instruct MoE Assistant 16bit?

Qwen2 1.5B Instruct MoE Assistant 16bit requires approximately 3.1 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 Qwen2 1.5B Instruct MoE Assistant 16bit and how large is it?

Qwen2 1.5B Instruct MoE Assistant 16bit is developed by Agnuxo, a model with 1.5b 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 Qwen2 1.5B Instruct MoE Assistant 16bit?

Qwen2 1.5B Instruct MoE Assistant 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 1.5B Instruct MoE Assistant 16bit by Agnuxo — VRAM 3.1GB, 32K context

Name: Qwen2 1.5B Instruct MoE Assistant 16bit
Author: Agnuxo

Qwen2 1.5B Instruct MoE Assistant 16bit is an open-source language model by Agnuxo. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:2604.19792 16bit Cajal Conversational En Es Instruct Local-ai Moe P2pclaw Quantized Qwen-family Qwen2 Region:us Safetensors Scientific-research

Model Card on HF 🤗: https://huggingface.co/Agnuxo/Qwen2-1.5B-Instruct_MOE_assistant_16bit

Qwen2 1.5B Instruct MoE Assistant 16bit Parameters and Internals

Model Type

text generation

LLM Name	Qwen2 1.5B Instruct MoE Assistant 16bit
Repository 🤗	https://huggingface.co/Agnuxo/Qwen2-1.5B-Instruct_MOE_assistant_16bit
Base Model(s)	unsloth/qwen2-1.5b-instruct-bnb-4bit unsloth/qwen2-1.5b-instruct-bnb-4bit
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-09-09
Maintainer	Agnuxo
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	en es
Quantization Type	16bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 1.5B Instruct MoE Assistant 16bit 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

Quantized Models of the Qwen2 1.5B Instruct MoE Assistant 16bit

Model	Likes	Downloads	VRAM
...truct MoE CODE Assistant 16bit	0	9	3 GB

Best Alternatives to Qwen2 1.5B Instruct MoE Assistant 16bit

Best Alternatives	Context / RAM	Downloads	Likes
Legal Chatbot Llama3 Finetuned	32K / 3.1 GB	389	0
Legal Qwen2.5 1.5B Sft	32K / 3.1 GB	1031	0
Legal Chatbot Qwen2.5 1.5B Sft	32K / 3.1 GB	871	0
....5B Instruct Legal Chatbot Sft	32K / 3.1 GB	592	0
Qwen2.5 1.5B Legal Sft	32K / 3.1 GB	677	0
Legal Chatbot Qwen2.5 1.5B Sft	32K / 3.1 GB	506	0
... 2.5 1.5B Indonesian Legal Sft	32K / 3.1 GB	454	0
...wen2.5 1.5B Legal Id Finetuned	32K / 3.1 GB	345	0
Legal Chatbot Qwen2.5 1.5B Sft	32K / 3.1 GB	256	1
...2.5 1.5B Instruct Legal Id Sft	32K / 3.1 GB	209	0

Note: green Score (e.g. "73.2") means that the model is better than Agnuxo/Qwen2-1.5B-Instruct_MOE_assistant_16bit.