What are the hardware requirements for Qwen3 Coder Next Opus 4.6 Reasoning Distilled?

Qwen3 Coder Next Opus 4.6 Reasoning Distilled requires approximately 159.3 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 Opus 4.6 Reasoning Distilled and how large is it?

Qwen3 Coder Next Opus 4.6 Reasoning Distilled is developed by samuelcardillo, a model with 6.2m 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 Opus 4.6 Reasoning Distilled?

Qwen3 Coder Next Opus 4.6 Reasoning Distilled is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Coder Next Opus 4.6 Reasoning Distilled by samuelcardillo — VRAM 159.3GB, 256K context

Name: Qwen3 Coder Next Opus 4.6 Reasoning Distilled
Author: samuelcardillo

Qwen3 Coder Next Opus 4.6 Reasoning Distilled is an open-source language model by samuelcardillo. Features: 6.2m LLM, VRAM: 159.3GB, Context: 256K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-coder-ne... Claude-opus Codegen Dataset:jackrong/qwen3.5-reaso... Dataset:nohurry/opus-4.6-reaso... Dataset:teichai/claude-4.5-opu... Deepspeed Distillation En Full-finetune Qwen3 Qwen3 next Reasoning Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/samuelcardillo/Qwen3-Coder-Next-Opus-4.6-Reasoning-Distilled

Qwen3 Coder Next Opus 4.6 Reasoning Distilled Parameters and Internals

LLM Name	Qwen3 Coder Next Opus 4.6 Reasoning Distilled
Repository 🤗	https://huggingface.co/samuelcardillo/Qwen3-Coder-Next-Opus-4.6-Reasoning-Distilled
Base Model(s)	Qwen3 Coder Next Qwen/Qwen3-Coder-Next
Model Size	6.2m
Required VRAM	159.3 GB
Updated	2026-07-26
Maintainer	samuelcardillo
Model Type	qwen3_next
Model Files	48.5 GB: 1-of-4 49.4 GB: 2-of-4 49.4 GB: 3-of-4 12.0 GB: 4-of-4
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen3NextForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.4.0
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