What are the hardware requirements for DPO MCQA Model?

DPO MCQA Model requires approximately 3 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 DPO MCQA Model and how large is it?

DPO MCQA Model is developed by albertfares, a model with 0.6b 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 DPO MCQA Model?

DPO MCQA Model is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DPO MCQA Model by albertfares — VRAM 3GB, 32K context

Name: DPO MCQA Model
Author: albertfares

DPO MCQA Model is an open-source language model by albertfares. Features: 0.6b LLM, VRAM: 3GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Code Conversational Dataset:albertfares/mnlp m3 dp... Dpo En Math Mcqa Merge Mnlp-m3 Qwen3 Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/albertfares/DPO_MCQA_model

DPO MCQA Model Parameters and Internals

LLM Name	DPO MCQA Model
Repository 🤗	https://huggingface.co/albertfares/DPO_MCQA_model
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	3 GB
Updated	2026-08-08
Maintainer	albertfares
Model Type	qwen3
Model Files	3.0 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the DPO MCQA Model 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 DPO MCQA Model

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Quipu 0.6B	40K / 1.2 GB	351	4
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Clary 0.6 0.6B	40K / 1.2 GB	88	1
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18
Qwen3 Finetuned	40K / 1.2 GB	98	1
Privasis Cleaner 0.6B	40K / 1.2 GB	73	0
Qwen3 0.6B Sushi Code Expert	40K / 1.5 GB	40	0
Qwen 0.6B ConvFill	40K / 1.2 GB	106	0
Qwen3 0.6B	40K / 1.2 GB	99924	22

Note: green Score (e.g. "73.2") means that the model is better than albertfares/DPO_MCQA_model.