What are the hardware requirements for Seger Qwen2.5 1.5B?

Seger Qwen2.5 1.5B 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 Seger Qwen2.5 1.5B and how large is it?

Seger Qwen2.5 1.5B is developed by sirsqm, 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 Seger Qwen2.5 1.5B?

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

Seger Qwen2.5 1.5B by sirsqm — VRAM 3.1GB, 32K context

Name: Seger Qwen2.5 1.5B
Author: sirsqm

Seger Qwen2.5 1.5B is an open-source language model by sirsqm. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.29.

Instruct Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/sirsqm/seger-qwen2.5-1.5b

Seger Qwen2.5 1.5B Parameters and Internals

LLM Name	Seger Qwen2.5 1.5B
Repository 🤗	https://huggingface.co/sirsqm/seger-qwen2.5-1.5b
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-10-11
Maintainer	sirsqm
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Seger Qwen2.5 1.5B 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 Seger Qwen2.5 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	27	0
Merge Cord V1	128K / 3.1 GB	155	1
Gte Qwen2 1.5B Instruct	128K / 7.1 GB	482843	239
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