What are the hardware requirements for Fourth Mcqa Model?

Fourth Mcqa Model requires approximately 2.4 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 Fourth Mcqa Model and how large is it?

Fourth Mcqa Model is developed by liam-mnlp, 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 Fourth Mcqa Model?

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

Fourth Mcqa Model by liam-mnlp — VRAM 2.4GB, 32K context

Name: Fourth Mcqa Model
Author: liam-mnlp

Fourth Mcqa Model is an open-source language model by liam-mnlp. Features: 0.6b LLM, VRAM: 2.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

Conversational Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/liam-mnlp/fourth-mcqa-model

Fourth Mcqa Model Parameters and Internals

LLM Name	Fourth Mcqa Model
Repository 🤗	https://huggingface.co/liam-mnlp/fourth-mcqa-model
Base Model(s)	qwen/Qwen3-0.6B-Base qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	2.4 GB
Updated	2026-07-06
Maintainer	liam-mnlp
Model Type	qwen3
Model Files	2.4 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Fourth 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 Fourth 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	74	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 liam-mnlp/fourth-mcqa-model.