Model reference · open weights
Qwen3.8-2.4T is an open-weight language model from nvidia, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Model Overview Description: Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks. The NVIDIA Qwen3.8-2.4T-A95B-NVFP4 model is the quantized version of Alibaba's Qwen3.8-2.4T-A95B model.For more information, please check here. The NVIDIA Qwen3.8-2.4T-A95B-NVFP4 model is quantized with Model Optimizer. This model is ready for commercial or non-commercial use. <br Third-Party Community Consideration This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA (Qwen3.8-2.4T-A95B) Model Card. License/Terms of Use: GOVERNING TERMS: Use of the model is governed by the NVIDIA Open Model Agreement. Additional Information: Qwen3.8-2.4T-A95B Use Case: Qwen3.8-2.4T-A95B delivers comprehensive improvements across coding, work, research, and long-horizon tasks. <br Release Date: Hugging Face 08/27/2026 via https://huggingface.co/nvidia/Qwen3.8-2.4T-A95B-NVFP4 <br References - NVIDIA Model Optimizer: https://github.com/NVIDIA/Model-Optimizer - Qwen3.8-2.4T-A95B model card Deployment Geography: Global <br Model Architecture: Architecture Type: Transformers <br Network Architecture: Mixture-of-Experts (MoE) with Hybrid Attention and fine-grained MoE blocks <br Number of Model Parameters: 2.4T in total and 95B activated <br Input: Input Type(s): Text <br Input Format(s): String <br Input Parameters: One-Dimensional (1D) <br Other Properties Related to Input: Context length up to 1 million tokens <br Output: Output Type(s): Text <br Output Format: String <br Output Parameters: One-Dimensional (1D): Sequences <br Other Properties Related to Output: Outputs may include natural-language responses, code, tool-calling content, and structured outputs depending on deployment configuration and application-level tooling. <br Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions. <br Software Integration: Sup
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | nvidia |
|---|---|
| Type | Language models |
| Parameters (lead) | 1260.8B |
| Variants | 1 |
| Runs with | Model Optimizer |
| Based on | Qwen/Qwen3.8-2.4T-A95B |
| Released | 2026-08-25 |
| Popularity | 438 downloads / month |
| Likes | 8 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Qwen3.8-2.4T-A95B-NVFP4 | 1260.8B | NVFP4 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys nvidia-qwen3-8-2-4t for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nvidia-qwen3-8-2-4t below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"nvidia-qwen3-8-2-4t","messages":[{"role":"user","content":"Hello"}]}'
Details
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Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗