What are the hardware requirements for Q25 1.5B VeoLu?

Q25 1.5B VeoLu requires approximately 3.5 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 Q25 1.5B VeoLu and how large is it?

Q25 1.5B VeoLu is developed by Alfitaria, 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 Q25 1.5B VeoLu?

Q25 1.5B VeoLu is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Q25 1.5B VeoLu by Alfitaria — VRAM 3.5GB, 32K context

Name: Q25 1.5B VeoLu
Author: Alfitaria

Q25 1.5B VeoLu is an open-source language model by Alfitaria. Features: 1.5b LLM, VRAM: 3.5GB, Context: 32K, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.15.

Merged Model Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i... Conversational Dataset:alignment-lab-ai/orcam... Dataset:allura-org/fujin-clean... Dataset:allura-org/medquad sha... Dataset:allura-org/scienceqa s... Dataset:dampfinchen/creative w... Dataset:toastypigeon/springdra... Instruct Llama-factory Lora Peft Q25 Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Alfitaria/Q25-1.5B-VeoLu

Q25 1.5B VeoLu Parameters and Internals

LLM Name	Q25 1.5B VeoLu
Repository 🤗	https://huggingface.co/Alfitaria/Q25-1.5B-VeoLu
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Merged Model	Yes
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-08-25
Maintainer	Alfitaria
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.5 GB: 1-of-1
Quantization Type	q25
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.42.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
LoRA Model	Yes
Torch Data Type	bfloat16
Errors	replace

Rank the Q25 1.5B VeoLu 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 Q25 1.5B VeoLu

Best Alternatives	Context / RAM	Downloads	Likes
Legal Qwen2.5 1.5B Sft	32K / 3.1 GB	1031	0
Legal Chatbot Qwen2.5 1.5B Sft	32K / 3.1 GB	871	0
....5B Instruct Legal Chatbot Sft	32K / 3.1 GB	592	0
Qwen2.5 1.5B Legal Sft	32K / 3.1 GB	677	0
Legal Chatbot Qwen2.5 1.5B Sft	32K / 3.1 GB	506	0
... 2.5 1.5B Indonesian Legal Sft	32K / 3.1 GB	454	0
...wen2.5 1.5B Legal Id Finetuned	32K / 3.1 GB	345	0
...al Chatbot Qwen2.5 1.5B Merged	32K / 3.1 GB	110	0
Legal Chatbot Qwen2.5 1.5B Sft	32K / 3.1 GB	256	1
...2.5 1.5B Instruct Legal Id Sft	32K / 3.1 GB	209	0

Note: green Score (e.g. "73.2") means that the model is better than Alfitaria/Q25-1.5B-VeoLu.