What are the hardware requirements for Qwen2.5 1.5B 1.3M Stretched?

Qwen2.5 1.5B 1.3M Stretched requires approximately 3.1 GB of VRAM and supports a context window of 1280K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 1.5B 1.3M Stretched and how large is it?

Qwen2.5 1.5B 1.3M Stretched is developed by BikoRiko, 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 1.5B 1.3M Stretched?

Qwen2.5 1.5B 1.3M Stretched is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 1.5B 1.3M Stretched by BikoRiko — VRAM 3.1GB, 1280K context

Name: Qwen2.5 1.5B 1.3M Stretched
Author: BikoRiko

Qwen2.5 1.5B 1.3M Stretched is an open-source language model by BikoRiko. Features: 1.5b LLM, VRAM: 3.1GB, Context: 1280K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.26.

1m-context Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i... Conversational Endpoints compatible Instruct Lmsys Long-context Qwen Qwen2 Region:us Rope-scaling Safetensors

Model Card on HF 🤗: https://huggingface.co/BikoRiko/Qwen2.5-1.5B-1.3M-Stretched

Qwen2.5 1.5B 1.3M Stretched Parameters and Internals

LLM Name	Qwen2.5 1.5B 1.3M Stretched
Repository 🤗	https://huggingface.co/BikoRiko/Qwen2.5-1.5B-1.3M-Stretched
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-08-09
Maintainer	BikoRiko
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	1310720
Model Max Length	1310720
Transformers Version	4.56.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen2.5 1.5B 1.3M Stretched 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

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