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

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

Qwen2.5 3B Instruct Sheldon SFT V2 Merged 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 Merged?

Qwen2.5 3B Instruct Sheldon SFT V2 Merged 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 Merged by zachchxn — VRAM 6.2GB, 32K context

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

Qwen2.5 3B Instruct Sheldon SFT V2 Merged is an open-source language model by zachchxn. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.3.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Cs2881r En Endpoints compatible Instruct Math Merge Persona Qwen2 Qwen2.5 Region:us Roleplay Safetensors Sheldon-cooper

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

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

LLM Name	Qwen2.5 3B Instruct Sheldon SFT V2 Merged
Repository 🤗	https://huggingface.co/zachchxn/Qwen2.5-3B-Instruct-Sheldon-SFT-v2-merged
Base Model(s)	Qwen/Qwen2.5-3B-Instruct Qwen/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-09-16
Maintainer	zachchxn
Model Type	qwen2
Instruction-Based	Yes
Model Files	6.2 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen2.5 3B Instruct Sheldon SFT V2 Merged 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 Qwen2.5 3B Instruct Sheldon SFT V2 Merged

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
King AI Chat V3.0	32K / 6.2 GB	487	1
...er 3B Instruct Spider Sft Grpo	32K / 6.2 GB	1025	1
SmallThinker 3B Preview	32K / 6.8 GB	30529	412
AetherSearch SFT	32K / 6.2 GB	493	1

Note: green Score (e.g. "73.2") means that the model is better than zachchxn/Qwen2.5-3B-Instruct-Sheldon-SFT-v2-merged.