What are the hardware requirements for Qwen3 Esper3 Reasoning CODER Instruct 12B Brainstorm20x?

Qwen3 Esper3 Reasoning CODER Instruct 12B Brainstorm20x requires approximately 47.3 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.

Where can I download or evaluate Qwen3 Esper3 Reasoning CODER Instruct 12B Brainstorm20x?

Qwen3 Esper3 Reasoning CODER Instruct 12B Brainstorm20x is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Esper3 Reasoning CODER Instruct 12B Brainstorm20x by DavidAU — VRAM 47.3GB, 40K context

Name: Qwen3 Esper3 Reasoning CODER Instruct 12B Brainstorm20x
Author: DavidAU

Qwen3 Esper3 Reasoning CODER Instruct 12B Brainstorm20x is an open-source language model by DavidAU. Features: 4b LLM, VRAM: 47.3GB, Context: 40K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.19.

Arxiv:2401.02415 8b Analytical Architect Aws Azure Base model:finetune:valiantlab... Base model:valiantlabs/qwen3-4... Brainstorm Brainstorm20x Chat Cloud Code Code generation Code-instruct Codegen Coder Coding Conversational Creative Dataset:sequelbox/raiden-deeps... Dataset:sequelbox/tachibana2-d... Dataset:sequelbox/titanium2.1-... Dev-ops Developer En Endpoints compatible Engineer Esper Esper-3 Expert Gcp Instruct Javascript Jenkins Merge Powershell Problem-solving Python Qwen Qwen-3 Qwen-3-8b Qwen3 Qwencoder Rationality Reasoning Region:us Safetensors Scripting Sharded Tensorflow Terraform Valiant Valiant-labs

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x

Qwen3 Esper3 Reasoning CODER Instruct 12B Brainstorm20x Parameters and Internals

LLM Name	Qwen3 Esper3 Reasoning CODER Instruct 12B Brainstorm20x
Repository 🤗	https://huggingface.co/DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x
Base Model(s)	Qwen3 4B Esper3 ValiantLabs/Qwen3-4B-Esper3
Model Size	4b
Required VRAM	47.3 GB
Updated	2026-06-02
Maintainer	DavidAU
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 5.0 GB: 4-of-10 4.8 GB: 5-of-10 4.9 GB: 6-of-10 4.8 GB: 7-of-10 4.8 GB: 8-of-10 4.9 GB: 9-of-10 3.5 GB: 10-of-10
Supported Languages	en
Generates Code	Yes
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	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen3 Esper3 Reasoning CODER Instruct 12B 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 Esper3 Reasoning CODER Instruct 12B Brainstorm20x

Best Alternatives	Context / RAM	Downloads	Likes
Mini Coder 4B	256K / 8.1 GB	53	4
...ODER Instruct 6B Brainstorm20x	40K / 11.9 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x.