What are the hardware requirements for Qwen3 0.6B Math L45 Qlora Merged Fp16 V2?

Qwen3 0.6B Math L45 Qlora Merged Fp16 V2 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 Qwen3 0.6B Math L45 Qlora Merged Fp16 V2 and how large is it?

Qwen3 0.6B Math L45 Qlora Merged Fp16 V2 is developed by zannvznn, 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 Qwen3 0.6B Math L45 Qlora Merged Fp16 V2?

Qwen3 0.6B Math L45 Qlora Merged Fp16 V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 0.6B Math L45 Qlora Merged Fp16 V2 by zannvznn — VRAM 1.2GB, 32K context

Name: Qwen3 0.6B Math L45 Qlora Merged Fp16 V2
Author: zannvznn

Qwen3 0.6B Math L45 Qlora Merged Fp16 V2 is an open-source language model by zannvznn. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, Quantized, Merged, LLM Explorer Score: 0.23.

Merged Model Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational Endpoints compatible Fp16 Math Qlora Quantized Qwen3 Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/zannvznn/qwen3-0.6b-math-l45-qlora-merged-fp16-v2

Qwen3 0.6B Math L45 Qlora Merged Fp16 V2 Parameters and Internals

LLM Name	Qwen3 0.6B Math L45 Qlora Merged Fp16 V2
Repository 🤗	https://huggingface.co/zannvznn/qwen3-0.6b-math-l45-qlora-merged-fp16-v2
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Merged Model	Yes
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-07-10
Maintainer	zannvznn
Model Type	qwen3
Model Files	1.2 GB
Quantization Type	fp16
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 0.6B Math L45 Qlora Merged Fp16 V2 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 Qwen3 0.6B Math L45 Qlora Merged Fp16 V2

Best Alternatives	Context / RAM	Downloads	Likes
Agent 0.6B	125K / 1.2 GB	14	0
Fizik 0.6B Preview	40K / 1.2 GB	9	0
Qwen3 0.6B Unsloth Bnb 4bit	40K / 0.6 GB	146920	25
Qwen3 0.6B 4bit	40K / 0.3 GB	50315	14
Qwen3 0.6B 8bit	40K / 0.6 GB	41318	7
Qwentestnew1	40K / 1.2 GB	66	0
Qwen3 0.6B SFTchat Math	40K / 1.2 GB	15	0
Meet7 0.6B	40K / 1.2 GB	10	1
...d Qwen3 0.6B Gabliterated 4bit	40K / 0.3 GB	24	1
Qwen3 0.6B Gabliterated 4bit	40K / 0.3 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than zannvznn/qwen3-0.6b-math-l45-qlora-merged-fp16-v2.