What are the hardware requirements for Qwen2.5 1.5B Reasoning Hybrid SFT?

Qwen2.5 1.5B Reasoning Hybrid SFT 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 1.5B Reasoning Hybrid SFT and how large is it?

Qwen2.5 1.5B Reasoning Hybrid SFT is developed by hassanRagab, 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 Reasoning Hybrid SFT?

Qwen2.5 1.5B Reasoning Hybrid SFT 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 Reasoning Hybrid SFT by hassanRagab — VRAM 3.1GB, 32K context

Name: Qwen2.5 1.5B Reasoning Hybrid SFT
Author: hassanRagab

Qwen2.5 1.5B Reasoning Hybrid SFT is an open-source language model by hassanRagab. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, LLM Explorer Score: 0.28.

Arxiv:1910.09700 Conversational Endpoints compatible Llama-factory Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hassanRagab/Qwen2.5-1.5B-Reasoning-Hybrid-SFT

Qwen2.5 1.5B Reasoning Hybrid SFT Parameters and Internals

LLM Name	Qwen2.5 1.5B Reasoning Hybrid SFT
Repository 🤗	https://huggingface.co/hassanRagab/Qwen2.5-1.5B-Reasoning-Hybrid-SFT
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-08-14
Maintainer	hassanRagab
Model Type	qwen2
Model Files	2.0 GB: 1-of-2 1.1 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.8.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen2.5 1.5B Reasoning Hybrid SFT 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 1.5B Reasoning Hybrid SFT

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	18	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Merge Cord V1	128K / 3.1 GB	155	1
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Seq Monkey Pretrain Base 1.5B	128K / 3.5 GB	37	0

Note: green Score (e.g. "73.2") means that the model is better than hassanRagab/Qwen2.5-1.5B-Reasoning-Hybrid-SFT.