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Qwen3-Coder-Next
Tensordyne/Qwen3-Coder-Next
Qwen3-Coder-Next is a text generation model from Tensordyne. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Tensordyne builds advanced AI-inference systems, enabling faster, more affordable, and sustainable generative AI.
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Public
Updated Apr 4, 2026
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120 MB
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.json120 MB · 100%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Mar 27, 2026
- Updated
- Apr 4, 2026
- SHA
- c4375d44
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Base models
Model card
From the Hugging Face model README
📝 Overview
Tensordyne builds advanced AI-inference systems, enabling faster, more affordable, and sustainable generative AI.
This repository provides resources to quickly get started with Qwen3-Coder-Next on the Tensordyne Inference System and its SDK.
🧩 Model Details
- Quantization: post-training quantization of the base model, no fine-tuning or additional training was performed
- Supported data types: Tensordyne FP16 (tFP16), Tensordyne FP8 (tFP8), mixed-precision
⚙️ Quantization
The Tensordyne SDK offers multiple post-training quantization strategies to convert AI models for efficient inference on the Tensordyne Inference System — fully customizable for your optimization targets.
We showcase several preselected quantization variants that can be applied on-the-fly to quantize to Tensordyne data types here. The calibration-based strategies are defined by quantization configurations provided as .json.
The quantized models are evaluated on 10% of the WikiText-2 raw v1 test set. Negative relative perplexity drops indicate that the model performs better than the float base model.
| Model Configuration | Absolute Perplexity | Relative Perplexity Drop vs. BF16 | Details |
|---|---|---|---|
| BF16 | 6.351 | – | The baseline model trained in BF16 |
| layerwise_mixed_precision | 6.365 | 0.23 % | calibration-based mixed-precision: tFP8, outliers in tFP16 |
| calibration_based_tFP8 | 6.498 | 2.33 % | calibration-based tFP8 quantization |
🚀 Getting Started
Refer to the Tensordyne Hugging Face Hub tutorial in our hosted documentation for instructions on using the artifacts provided in this repository.
The documentation provides more information on Tensordyne's quantization strategies and introduces you to our SDK.
- Task
- Text Generation
- License
- apache-2.0
- Created
- Mar 27, 2026
- Updated
- Apr 4, 2026