What are the hardware requirements for Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 Sft?

Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 Sft requires approximately 3.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 Sft and how large is it?

Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 Sft is developed by mveroe, 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 Lightr1 3 EN 4096 1p0 0p0 1p0 Sft?

Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 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 Lightr1 3 EN 4096 1p0 0p0 1p0 Sft by mveroe — VRAM 3.1GB, 128K context

Name: Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 Sft
Author: mveroe

Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 Sft is an open-source language model by mveroe. Features: 1.5b LLM, VRAM: 3.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b Conversational Endpoints compatible Generated from trainer Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mveroe/Qwen2.5-1.5B_lightr1_3_EN_4096_1p0_0p0_1p0_sft

Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 Sft Parameters and Internals

LLM Name	Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 Sft
Repository 🤗	https://huggingface.co/mveroe/Qwen2.5-1.5B_lightr1_3_EN_4096_1p0_0p0_1p0_sft
Base Model(s)	Qwen/Qwen2.5-1.5B Qwen/Qwen2.5-1.5B
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-07-28
Maintainer	mveroe
Model Type	qwen2
Model Files	3.1 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151667
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 1.5B Lightr1 3 EN 4096 1p0 0p0 1p0 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 Lightr1 3 EN 4096 1p0 0p0 1p0 Sft

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	128	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
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
Qwen2 1.5B	128K / 3.1 GB	195380	102

Note: green Score (e.g. "73.2") means that the model is better than mveroe/Qwen2.5-1.5B_lightr1_3_EN_4096_1p0_0p0_1p0_sft.