What are the hardware requirements for Bio2Tags Qwen2.5 3B?

Bio2Tags Qwen2.5 3B 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 Bio2Tags Qwen2.5 3B and how large is it?

Bio2Tags Qwen2.5 3B is developed by SpiceeChat, 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 Bio2Tags Qwen2.5 3B?

Bio2Tags Qwen2.5 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bio2Tags Qwen2.5 3B by SpiceeChat — VRAM 6.2GB, 32K context

Name: Bio2Tags Qwen2.5 3B
Author: SpiceeChat

Bio2Tags Qwen2.5 3B is an open-source language model by SpiceeChat. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.23.

Bio-to-tags Conversational En Endpoints compatible Interests Personality Qwen2 Qwen2.5 Region:us Safetensors Tag-generation

Model Card on HF 🤗: https://huggingface.co/SpiceeChat/Bio2Tags-Qwen2.5-3B

Bio2Tags Qwen2.5 3B Parameters and Internals

LLM Name	Bio2Tags Qwen2.5 3B
Repository 🤗	https://huggingface.co/SpiceeChat/Bio2Tags-Qwen2.5-3B
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-29
Maintainer	SpiceeChat
Model Type	qwen2
Model Files	6.2 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.5.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Bio2Tags Qwen2.5 3B 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

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Note: green Score (e.g. "73.2") means that the model is better than SpiceeChat/Bio2Tags-Qwen2.5-3B.