What are the hardware requirements for Qwen3 8B 320K Context 10X Massive?

Qwen3 8B 320K Context 10X Massive requires approximately 16.4 GB of VRAM and supports a context window of 320K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 8B 320K Context 10X Massive and how large is it?

Qwen3 8B 320K Context 10X Massive is developed by DavidAU, a model with 8b 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 8B 320K Context 10X Massive?

Qwen3 8B 320K Context 10X Massive is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 8B 320K Context 10X Massive by DavidAU — VRAM 16.4GB, 320K context

Name: Qwen3 8B 320K Context 10X Massive
Author: DavidAU

Qwen3 8B 320K Context 10X Massive is an open-source language model by DavidAU. Features: 8b LLM, VRAM: 16.4GB, Context: 320K, LLM Explorer Score: 0.18.

320k context Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b Conversational Endpoints compatible Qwen3 Reasoning Region:us Safetensors Sharded Tensorflow Thinking

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-8B-320k-Context-10X-Massive

Qwen3 8B 320K Context 10X Massive Parameters and Internals

LLM Name	Qwen3 8B 320K Context 10X Massive
Repository 🤗	https://huggingface.co/DavidAU/Qwen3-8B-320k-Context-10X-Massive
Base Model(s)	Qwen3 8B Qwen/Qwen3-8B
Model Size	8b
Required VRAM	16.4 GB
Updated	2025-10-09
Maintainer	DavidAU
Model Type	qwen3
Model Files	4.0 GB: 1-of-5 4.0 GB: 2-of-5 4.0 GB: 3-of-5 3.2 GB: 4-of-5 1.2 GB: 5-of-5
Model Architecture	Qwen3ForCausalLM
Context Length	327680
Model Max Length	327680
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 8B 320K Context 10X Massive 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 8B 320K Context 10X Massive

Best Alternatives	Context / RAM	Downloads	Likes
PaCoRe 8B	320K / 1.2 GB	54	48
RLVR 8B 0926	320K / 1.2 GB	63	8
...r Of Horror Jan V1 256K Ctx 8B	256K / 16.1 GB	33	3
... BIG Jan Horror V1 256K Ctx 8B	256K / 16.1 GB	44	0
Qwen3 8B 256K Context 8X Grand	256K / 16.4 GB	95	0
...wen3 8B 192K Context 6X Larger	192K / 16.4 GB	55	0
DeepSeek R1 0528 Qwen3 8B	128K / 16.4 GB	1762293	1082
...Reason 8B Pretrain Competition	128K / 16.8 GB	244	0
Marco DeepResearch 8B	128K / 16.3 GB	520	27
Marco DeepResearch 8B	128K / 16.3 GB	308	34

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-8B-320k-Context-10X-Massive.