What are the hardware requirements for Vera Qwen 1.5B DPO?

Vera Qwen 1.5B DPO 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 Vera Qwen 1.5B DPO and how large is it?

Vera Qwen 1.5B DPO is developed by RamBhogesara, 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 Vera Qwen 1.5B DPO?

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

Vera Qwen 1.5B DPO by RamBhogesara — VRAM 3.1GB, 32K context

Name: Vera Qwen 1.5B DPO
Author: RamBhogesara

Vera Qwen 1.5B DPO is an open-source language model by RamBhogesara. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.3.

4bit Alignment Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-1.5... Conversational Dataset:rambhogesara/vera-dpo-... Dpo En Endpoints compatible Epistemic-calibration Instruct Quantized Qwen2 Qwen2.5 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/RamBhogesara/vera-qwen-1.5b-dpo

Vera Qwen 1.5B DPO Parameters and Internals

LLM Name	Vera Qwen 1.5B DPO
Repository 🤗	https://huggingface.co/RamBhogesara/vera-qwen-1.5b-dpo
Base Model(s)	unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-10-08
Maintainer	RamBhogesara
Model Type	qwen2
Instruction-Based	Yes
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

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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

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