What are the hardware requirements for Supply Chain Anomaly Qwen2.5 3B Instruct?

Supply Chain Anomaly Qwen2.5 3B Instruct 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 Supply Chain Anomaly Qwen2.5 3B Instruct and how large is it?

Supply Chain Anomaly Qwen2.5 3B Instruct is developed by paulg28, 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 Supply Chain Anomaly Qwen2.5 3B Instruct?

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

Supply Chain Anomaly Qwen2.5 3B Instruct by paulg28 — VRAM 6.2GB, 32K context

Name: Supply Chain Anomaly Qwen2.5 3B Instruct
Author: paulg28

Supply Chain Anomaly Qwen2.5 3B Instruct is an open-source language model by paulg28. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.3.

Arxiv:1910.09700 Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/paulg28/supply-chain-anomaly-qwen2.5-3b-instruct

Supply Chain Anomaly Qwen2.5 3B Instruct Parameters and Internals

LLM Name	Supply Chain Anomaly Qwen2.5 3B Instruct
Repository 🤗	https://huggingface.co/paulg28/supply-chain-anomaly-qwen2.5-3b-instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-10-19
Maintainer	paulg28
Model Type	qwen2
Instruction-Based	Yes
Model Files	6.2 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.18.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Supply Chain Anomaly Qwen2.5 3B Instruct 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

Best Alternatives to Supply Chain Anomaly Qwen2.5 3B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
VibeThinker 3B	128K / 6.2 GB	361	0
Saba2 3B	128K / 6.2 GB	6	0
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
Qwen2.5 3B Instruct	32K / 6.2 GB	5889234	545
... Instruct Sheldon RLVR Math V1	32K / 6.2 GB	876	0
Zen Ingress 1 3B Sft Merged	32K / 6.2 GB	787	1
SmallThinker 3B Preview	32K / 6.8 GB	30529	412
Security Copilot Qwen2.5 3B	32K / 6.2 GB	403	0

Note: green Score (e.g. "73.2") means that the model is better than paulg28/supply-chain-anomaly-qwen2.5-3b-instruct.