What are the hardware requirements for Qwen3 Coder Next REAP 40B A3B?

Qwen3 Coder Next REAP 40B A3B requires approximately 82 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 Coder Next REAP 40B A3B and how large is it?

Qwen3 Coder Next REAP 40B A3B is developed by lovedheart, a model with 40b 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 Coder Next REAP 40B A3B?

Qwen3 Coder Next REAP 40B A3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Coder Next REAP 40B A3B by lovedheart — VRAM 82GB, 256K context

Name: Qwen3 Coder Next REAP 40B A3B
Author: lovedheart

Qwen3 Coder Next REAP 40B A3B is an open-source language model by lovedheart. Features: 40b LLM, VRAM: 82GB, Context: 256K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-coder-ne... Codegen Qwen3 next Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lovedheart/Qwen3-Coder-Next-REAP-40B-A3B

Qwen3 Coder Next REAP 40B A3B Parameters and Internals

LLM Name	Qwen3 Coder Next REAP 40B A3B
Repository 🤗	https://huggingface.co/lovedheart/Qwen3-Coder-Next-REAP-40B-A3B
Base Model(s)	Qwen3 Coder Next Qwen/Qwen3-Coder-Next
Model Size	40b
Required VRAM	82 GB
Updated	2026-08-04
Maintainer	lovedheart
Model Type	qwen3_next
Model Files	5.0 GB: 1-of-17 5.0 GB: 2-of-17 5.0 GB: 3-of-17 5.0 GB: 4-of-17 5.0 GB: 5-of-17 5.0 GB: 6-of-17 5.0 GB: 7-of-17 5.0 GB: 8-of-17 5.0 GB: 9-of-17 5.0 GB: 10-of-17 5.0 GB: 11-of-17 5.0 GB: 12-of-17 5.0 GB: 13-of-17 5.0 GB: 14-of-17 5.0 GB: 15-of-17 5.0 GB: 16-of-17 2.0 GB: 17-of-17
Generates Code	Yes
Model Architecture	Qwen3NextForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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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