What are the hardware requirements for Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5?

Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 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 Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 and how large is it?

Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 is developed by graliuce, 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 Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5?

Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 by graliuce — VRAM 6.2GB, 32K context

Name: Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5
Author: graliuce

Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 is an open-source language model by graliuce. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Dataset:graliuce/medmcqa.20.01 Endpoints compatible Generated from trainer Instruct Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/graliuce/Qwen2.5-3B-Instruct_MedMCQA.20.01_1.0e-5

Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 Parameters and Internals

LLM Name	Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5
Repository 🤗	https://huggingface.co/graliuce/Qwen2.5-3B-Instruct_MedMCQA.20.01_1.0e-5
Model Name	Qwen2.5-3B-Instruct_MedMCQA.20.01_1.0e-5
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-21
Maintainer	graliuce
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5 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 Qwen2.5 3B Instruct MedMCQA.20.01 1.0e 5

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
SearchQwen2.5 3B	32K / 6.8 GB	444	3
TRACE Mix Qwen2.5 3B Instruct	32K / 6.8 GB	361	2
...er 3B Instruct Spider Sft Grpo	32K / 6.2 GB	787	1
...2.5 3B Instruct SFT In WebShop	32K / 6.8 GB	347	1

Note: green Score (e.g. "73.2") means that the model is better than graliuce/Qwen2.5-3B-Instruct_MedMCQA.20.01_1.0e-5.