What are the hardware requirements for Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B?

Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B requires approximately 15.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B and how large is it?

Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B is developed by DavidAU, a model with 4b 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 DND Jan V1 256K Ctx Brainstorm40x 8B?

Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B by DavidAU — VRAM 15.4GB, 256K context

Name: Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B
Author: DavidAU

Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B is an open-source language model by DavidAU. Features: 4b LLM, VRAM: 15.4GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.19.

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-DND-Jan-v1-256k-ctx-Brainstorm40x-8B

Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B Parameters and Internals

LLM Name	Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B
Repository 🤗	https://huggingface.co/DavidAU/Qwen3-DND-Jan-v1-256k-ctx-Brainstorm40x-8B
Base Model(s)	Jan V1 4B janhq/Jan-v1-4B
Model Size	4b
Required VRAM	15.4 GB
Updated	2025-11-11
Maintainer	DavidAU
Model Type	qwen3
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 0.4 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.56.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B 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 Qwen3 DND Jan V1 256K Ctx Brainstorm40x 8B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	14	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	342	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Cuad Extractor	256K / 8.1 GB	322	1
Checkpoint 8000	256K / 8.1 GB	1453	0

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-DND-Jan-v1-256k-ctx-Brainstorm40x-8B.