What are the hardware requirements for Qwen2.5 Instructpretrained?

Qwen2.5 Instructpretrained requires approximately 3.1 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 Instructpretrained and how large is it?

Qwen2.5 Instructpretrained is developed by Elcaida, a model with 1.5b 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 Instructpretrained?

Qwen2.5 Instructpretrained is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Instructpretrained by Elcaida — VRAM 3.1GB, 32K context

Name: Qwen2.5 Instructpretrained
Author: Elcaida

Qwen2.5 Instructpretrained is an open-source language model by Elcaida. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-1.5... Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Elcaida/qwen2.5-instructpretrained

Qwen2.5 Instructpretrained Parameters and Internals

LLM Name	Qwen2.5 Instructpretrained
Repository 🤗	https://huggingface.co/Elcaida/qwen2.5-instructpretrained
Base Model(s)	unsloth/Qwen2.5-1.5B-Instruct unsloth/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-07-25
Maintainer	Elcaida
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Instructpretrained 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 Instructpretrained

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	27	0
Gte Qwen2 1.5B Instruct	128K / 7.1 GB	1078877	236
AceInstruct 1.5B	128K / 3.5 GB	139	22
... Abliterated TIES Qwen2.5 1.5B	128K / 3.5 GB	15	0
Saba1 1.8B	128K / 3.6 GB	6	1
Miniclaus Qw1.5B UNAMGS	128K / 3.5 GB	12	8
Bellatrix 1.5B XElite	128K / 3.5 GB	19	3
GCIRS Reasoning 1.5B R1	128K / 3.5 GB	9	1
...illed Scout 1.5B Instruct Gen1	128K / 3.5 GB	10	0
Deepthink 1.5B Open PRM	128K / 7.1 GB	12	0

Note: green Score (e.g. "73.2") means that the model is better than Elcaida/qwen2.5-instructpretrained.