What are the hardware requirements for TRACE Mix Qwen2.5 3B Instruct?

TRACE Mix Qwen2.5 3B Instruct requires approximately 6.8 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 TRACE Mix Qwen2.5 3B Instruct and how large is it?

TRACE Mix Qwen2.5 3B Instruct is developed by XiaoyuWen, 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 TRACE Mix Qwen2.5 3B Instruct?

TRACE Mix 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.

TRACE Mix Qwen2.5 3B Instruct by XiaoyuWen — VRAM 6.8GB, 32K context

Name: TRACE Mix Qwen2.5 3B Instruct
Author: XiaoyuWen

TRACE Mix Qwen2.5 3B Instruct is an open-source language model by XiaoyuWen. Features: 3b LLM, VRAM: 6.8GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.27.

Arxiv:2605.08778 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Credit-assignment Dataset:walledai/advbench En Endpoints compatible Instruct Jailbreak Llm-safety Multi-turn Qwen2 Red-teaming Region:us Safetensors Sharded Tensorflow Trace

Model Card on HF 🤗: https://huggingface.co/XiaoyuWen/TRACE-Mix-Qwen2.5-3B-Instruct

TRACE Mix Qwen2.5 3B Instruct Parameters and Internals

LLM Name	TRACE Mix Qwen2.5 3B Instruct
Repository 🤗	https://huggingface.co/XiaoyuWen/TRACE-Mix-Qwen2.5-3B-Instruct
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.8 GB
Updated	2026-08-27
Maintainer	XiaoyuWen
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-2 1.9 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.53.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the TRACE Mix Qwen2.5 3B Instruct 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 TRACE Mix 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
...in Anomaly Qwen2.5 3B Instruct	32K / 6.2 GB	196	1
... Instruct Sheldon RLVR Math V1	32K / 6.2 GB	876	0
Zen Ingress 1 3B Sft Merged	32K / 6.2 GB	834	1
SmallThinker 3B Preview	32K / 6.8 GB	30529	412

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