What are the hardware requirements for Qwen 1.5B Sft?

Qwen 1.5B 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 Qwen 1.5B Sft and how large is it?

Qwen 1.5B Sft is developed by manojpaul9986, 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 Qwen 1.5B Sft?

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

Qwen 1.5B Sft by manojpaul9986 — VRAM 3.1GB, 32K context

Name: Qwen 1.5B Sft
Author: manojpaul9986

Qwen 1.5B Sft is an open-source language model by manojpaul9986. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.33.

4bit En Endpoints compatible Quantized Qwen2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/manojpaul9986/qwen-1.5b-sft

Qwen 1.5B Sft Parameters and Internals

LLM Name	Qwen 1.5B Sft
Repository 🤗	https://huggingface.co/manojpaul9986/qwen-1.5b-sft
Base Model(s)	unsloth/qwen2.5-1.5b-unsloth-bnb-4bit unsloth/qwen2.5-1.5b-unsloth-bnb-4bit
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-09-08
Maintainer	manojpaul9986
Model Type	qwen2
Model Files	3.1 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 1.5B 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 Qwen 1.5B Sft

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 1.5B Mlx 4bit	128K / 0.9 GB	1055	26
...ill Qwen 1.5B Unsloth Bnb 4bit	128K / 1.8 GB	11066	16
Eval Model	128K / 7.1 GB	9	1
DeepSeek R1 ForumNXT	128K / 3.5 GB	8	0
Research PathfinderAI	128K / 3.5 GB	19	0
...en 1.5B Trained Alvin0616 Fork	128K / 3.5 GB	17	0
... R1 Distill Qwen 1.5B Bnb 4bit	128K / 1.6 GB	2008	11
...pSeek R1 Distill Qwen 1.5B 500	128K / 1.7 GB	6	0
Umbr0x 1.5B V3.1 16bit 2	128K / 15.2 GB	19	0
Qwen2 1.5B SFT 16bit Alpha	128K / 3.1 GB	8	0