What are the hardware requirements for MCQA Model CamelOnly?

MCQA Model CamelOnly requires approximately 1.2 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 MCQA Model CamelOnly and how large is it?

MCQA Model CamelOnly is developed by asazheng, 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 MCQA Model CamelOnly?

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

MCQA Model CamelOnly by asazheng — VRAM 1.2GB, 32K context

Name: MCQA Model CamelOnly
Author: asazheng

MCQA Model CamelOnly is an open-source language model by asazheng. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b-... Conversational En Endpoints compatible Qwen3 Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/asazheng/MCQA_model_CamelOnly

MCQA Model CamelOnly Parameters and Internals

LLM Name	MCQA Model CamelOnly
Repository 🤗	https://huggingface.co/asazheng/MCQA_model_CamelOnly
Base Model(s)	unsloth/Qwen3-0.6B-Base unsloth/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-05
Maintainer	asazheng
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the MCQA Model CamelOnly 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 MCQA Model CamelOnly

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Meridian Ac Nano	40K / 1.2 GB	452	1
Blake Haiku 1	40K / 1.2 GB	386	0
Tenorio 0.6B	40K / 1.2 GB	251	2
Quipu 0.6B	40K / 1.2 GB	351	4
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Qwen3 0.6B	40K / 1.5 GB	88	1
Clary 0.6 0.6B	40K / 1.2 GB	156	1
Privasis Cleaner 0.6B	40K / 1.2 GB	1171	18

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