What are the hardware requirements for Qwen3 Esper3 Reasoning CODER Instruct 21B Brainstorm20x 128K Ctx?

Qwen3 Esper3 Reasoning CODER Instruct 21B Brainstorm20x 128K Ctx requires approximately 84.1 GB of VRAM and supports a context window of 128K 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 21B Brainstorm20x 128K Ctx?

Qwen3 Esper3 Reasoning CODER Instruct 21B Brainstorm20x 128K Ctx 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 21B Brainstorm20x 128K Ctx by DavidAU — VRAM 84.1GB, 128K context

Name: Qwen3 Esper3 Reasoning CODER Instruct 21B Brainstorm20x 128K Ctx
Author: DavidAU

Qwen3 Esper3 Reasoning CODER Instruct 21B Brainstorm20x 128K Ctx is an open-source language model by DavidAU. Features: 14b LLM, VRAM: 84.1GB, Context: 128K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.19.

Arxiv:2401.02415 14b Analytical Architect Autotrain compatible Aws Azure Base model:finetune:valiantlab... Base model:valiantlabs/qwen3-1... 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 Float32 Gcp Instruct Javascript Jenkins Merge Powershell Problem-solving Python Qwen Qwen-3 Qwen-3-14b 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-21B-Brainstorm20x-128k-ctx

Qwen3 Esper3 Reasoning CODER Instruct 21B Brainstorm20x 128K Ctx Parameters and Internals

LLM Name	Qwen3 Esper3 Reasoning CODER Instruct 21B Brainstorm20x 128K Ctx
Repository 🤗	https://huggingface.co/DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-21B-Brainstorm20x-128k-ctx
Base Model(s)	Qwen3 14B Esper3 ValiantLabs/Qwen3-14B-Esper3
Model Size	14b
Required VRAM	84.1 GB
Updated	2025-09-23
Maintainer	DavidAU
Model Type	qwen3
Instruction-Based	Yes
Model Files	3.1 GB: 1-of-18 4.8 GB: 2-of-18 4.9 GB: 3-of-18 4.7 GB: 4-of-18 4.9 GB: 5-of-18 4.9 GB: 6-of-18 4.7 GB: 7-of-18 4.9 GB: 8-of-18 4.9 GB: 9-of-18 4.7 GB: 10-of-18 4.7 GB: 11-of-18 5.0 GB: 12-of-18 5.0 GB: 13-of-18 5.0 GB: 14-of-18 5.0 GB: 15-of-18 5.0 GB: 16-of-18 4.7 GB: 17-of-18 3.2 GB: 18-of-18
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
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 21B Brainstorm20x 128K Ctx 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 Esper3 Reasoning CODER Instruct 21B Brainstorm20x 128K Ctx

Best Alternatives	Context / RAM	Downloads	Likes
...DER Instruct 21B Brainstorm20x	40K / 84.1 GB	12	2

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-21B-Brainstorm20x-128k-ctx.