What are the hardware requirements for Qwen2.5 3B Instruct Sheldon SFT V2?

Qwen2.5 3B Instruct Sheldon SFT V2 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 3B Instruct Sheldon SFT V2 and how large is it?

Qwen2.5 3B Instruct Sheldon SFT V2 is developed by zachchxn, 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 Sheldon SFT V2?

Qwen2.5 3B Instruct Sheldon SFT V2 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 Sheldon SFT V2 by zachchxn — VRAM 0.2GB

Name: Qwen2.5 3B Instruct Sheldon SFT V2
Author: zachchxn

Qwen2.5 3B Instruct Sheldon SFT V2 is an open-source language model by zachchxn. Features: 3b LLM, VRAM: 0.2GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Adapter Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-3b-ins... Conversational Cs2881r En Finetuned Instruct Lora Math Peft Persona Qwen2.5 Region:us Roleplay Safetensors Sheldon-cooper

Model Card on HF 🤗: https://huggingface.co/zachchxn/Qwen2.5-3B-Instruct-Sheldon-SFT-v2

Qwen2.5 3B Instruct Sheldon SFT V2 Parameters and Internals

LLM Name	Qwen2.5 3B Instruct Sheldon SFT V2
Repository 🤗	https://huggingface.co/zachchxn/Qwen2.5-3B-Instruct-Sheldon-SFT-v2
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	0.2 GB
Updated	2026-09-16
Maintainer	zachchxn
Instruction-Based	Yes
Model Files	0.2 GB 0.0 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|q_proj\|k_proj\|up_proj\|gate_proj\|down_proj\|v_proj
LoRA Alpha	64
LoRA Dropout	0.05
R Param	32
Errors	replace

Rank the Qwen2.5 3B Instruct Sheldon SFT V2 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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