What are the hardware requirements for OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0?

OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0 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 OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0 and how large is it?

OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0 is developed by publication-charaf, 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 OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0?

OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0 by publication-charaf — VRAM 2.4GB, 32K context

Name: OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0
Author: publication-charaf

OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0 is an open-source language model by publication-charaf. Features: 0.6b LLM, VRAM: 2.4GB, Context: 32K, LLM Explorer Score: 0.18.

Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/publication-charaf/OA_Qwen3-0.6B-Base_lr-0.0001_e-3_s-0

OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0 Parameters and Internals

LLM Name	OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0
Repository 🤗	https://huggingface.co/publication-charaf/OA_Qwen3-0.6B-Base_lr-0.0001_e-3_s-0
Model Size	0.6b
Required VRAM	2.4 GB
Updated	2026-08-02
Maintainer	publication-charaf
Model Type	qwen3
Model Files	2.4 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0 capabilities

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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

Best Alternatives to OA Qwen3 0.6B Base Lr 0.0001 E 3 S 0

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S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
E2etext T1edu1 T1	40K / 1.2 GB	995	1
Qwen3 0.6B JSON SFT	40K / 1.2 GB	231	0
Qwen3 0.6B JSON SFT	40K / 1.2 GB	231	0
Cultist Simulator Qwen3 0.6B	40K / 1.2 GB	292	0
Adtc Agri Sft Qwen3 0.6B	40K / 1.2 GB	619	0
Qwen3 0.6B Heretic	40K / 1.2 GB	238	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Qwen3 0.6B NWC	40K / 0.8 GB	234	1

Note: green Score (e.g. "73.2") means that the model is better than publication-charaf/OA_Qwen3-0.6B-Base_lr-0.0001_e-3_s-0.