What are the hardware requirements for Qwen3 Coder Next Bf16?

Qwen3 Coder Next Bf16 requires approximately 159.7 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 Bf16 and how large is it?

Qwen3 Coder Next Bf16 is developed by mlx-community, a model with 79.7b 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 Bf16?

Qwen3 Coder Next Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Coder Next Bf16 by mlx-community — VRAM 159.7GB, 256K context

Name: Qwen3 Coder Next Bf16
Author: mlx-community

Qwen3 Coder Next Bf16 is an open-source language model by mlx-community. Features: 79.7b LLM, VRAM: 159.7GB, Context: 256K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.26.

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

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-Coder-Next-bf16

Qwen3 Coder Next Bf16 Parameters and Internals

LLM Name	Qwen3 Coder Next Bf16
Repository 🤗	https://huggingface.co/mlx-community/Qwen3-Coder-Next-bf16
Base Model(s)	Qwen3 Coder Next Qwen/Qwen3-Coder-Next
Model Size	79.7b
Required VRAM	159.7 GB
Updated	2026-08-01
Maintainer	mlx-community
Model Type	qwen3_next
Model Files	5.1 GB: 1-of-36 4.4 GB: 2-of-36 4.4 GB: 3-of-36 4.4 GB: 4-of-36 4.4 GB: 5-of-36 4.4 GB: 6-of-36 4.4 GB: 7-of-36 4.4 GB: 8-of-36 4.4 GB: 9-of-36 4.4 GB: 10-of-36 4.4 GB: 11-of-36 4.4 GB: 12-of-36 4.4 GB: 13-of-36 4.4 GB: 14-of-36 4.4 GB: 15-of-36 4.4 GB: 16-of-36 4.4 GB: 17-of-36 4.4 GB: 18-of-36 4.4 GB: 19-of-36 4.4 GB: 20-of-36 4.4 GB: 21-of-36 4.4 GB: 22-of-36 4.4 GB: 23-of-36 4.4 GB: 24-of-36 4.4 GB: 25-of-36 4.4 GB: 26-of-36 4.4 GB: 27-of-36 4.4 GB: 28-of-36 4.4 GB: 29-of-36 4.4 GB: 30-of-36 4.4 GB: 31-of-36 4.4 GB: 32-of-36 4.4 GB: 33-of-36 4.4 GB: 34-of-36 4.4 GB: 35-of-36 5.0 GB: 36-of-36
Generates Code	Yes
Model Architecture	Qwen3NextForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 Coder Next Bf16 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 Coder Next Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 Coder Next	256K / 159.4 GB	908245	1546
Qwen3 Coder Next FP8	256K / 80.3 GB	669389	148
Qwen3 Coder Next FP8 Dynamic	256K / 83.4 GB	17864	45
Qwen3 Coder Next Base	256K / 159.4 GB	1910	70
Qwen3 Coder Next FP8	256K / 80.3 GB	1697	11
Qwen3 Coder Next Mxfp8	256K / 82.3 GB	254	1
Qwen3 Coder Next Mxfp4	256K / 42 GB	241	1
Qwen3 Coder Next	256K / 159.4 GB	976	27
Qwen3 Coder Next Base	256K / 159.4 GB	22	7
Qwen3 Coder Next 4bit	256K / 44.9 GB	5062	28

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-Coder-Next-bf16.