What are the hardware requirements for Qwen3 Code Reasoning Instruct 6B Brainstorm20x?

Qwen3 Code Reasoning Instruct 6B Brainstorm20x requires approximately 11.9 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 Code Reasoning Instruct 6B Brainstorm20x and how large is it?

Qwen3 Code Reasoning Instruct 6B Brainstorm20x 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 Code Reasoning Instruct 6B Brainstorm20x?

Qwen3 Code Reasoning Instruct 6B Brainstorm20x is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Code Reasoning Instruct 6B Brainstorm20x by DavidAU — VRAM 11.9GB, 40K context

Name: Qwen3 Code Reasoning Instruct 6B Brainstorm20x
Author: DavidAU

Qwen3 Code Reasoning Instruct 6B Brainstorm20x is an open-source language model by DavidAU. Features: 4b LLM, VRAM: 11.9GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:2401.02415 Base model:ertghiu256/qwen3-4b... Base model:finetune:ertghiu256... Brainstorm Brainstorm20x Chat Code Code generation Codegen Coder Coding Conversational Cot Dataset:nvidia/opencodereasoni... Dataset:vicgalle/creative-rubr... En Endpoints compatible Instruct Merge Qwen Qwen3 Qwencoder Reasoning Region:us Safetensors Sft Sharded Tensorflow Think Thinking Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x

Qwen3 Code Reasoning Instruct 6B Brainstorm20x Parameters and Internals

LLM Name	Qwen3 Code Reasoning Instruct 6B Brainstorm20x
Repository 🤗	https://huggingface.co/DavidAU/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x
Base Model(s)	Qwen3 4B Code Reasoning ertghiu256/qwen3-4b-code-reasoning
Model Size	4b
Required VRAM	11.9 GB
Updated	2026-04-27
Maintainer	DavidAU
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 1.9 GB: 3-of-3
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 Code Reasoning Instruct 6B Brainstorm20x 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 Code Reasoning Instruct 6B Brainstorm20x

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	398	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...pt Full Qwen3 4b Instruct 2507	256K / 8 GB	365	1
Nexa AI 4B Instruct	256K / 8 GB	576	2
Neuron 4B Instruct	256K / 8.1 GB	313	1
Agents K1	256K / 8.8 GB	1098	28
FastContext 1.0 4B SFT	256K / 8.1 GB	273	18

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-Code-Reasoning-Instruct-6B-Brainstorm20x.