Qwen3.8-2.4T

About

What Qwen3.8-2.4T is

Read our How to Run Qwen3.8 Guide! Qwen3.8-2.4T-A95B [](https://chat.qwen.ai/?models=qwen3.8-max) [!Note] This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. These artifacts are compatible with vLLM, SGLang, TokenSpeed, etc. [!Tip] For users seeking managed, scalable inference without infrastructure maintenance, the official Qwen API service is provided by Qwen Cloud. In particular, Qwen3.8-Max is the official version based on Qwen3.8-2.4T-A95B with more features, such as vision input & non-thinking support, 1M context length by default, official built-in tools, etc. For more information, please refer to the Qwen3.8-Max Overview. Following the widespread community adoption of the Qwen3.5 and Qwen3.6 series, we are pleased to introduce Qwen3.8, the most capable generation in the Qwen open-model family to date. For the first time, Qwen3.8 brings a Qwen-Max-class model to open release. Built on the architectural foundation of Qwen3.5, Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks. Beyond answering harder questions, Qwen3.8 is designed to carry complex, multi-step tasks through to completion with greater reliability. Qwen3.8 Highlights Qwen3.8 features the following enhancements: - Core Capabilities: Comprehensive improvements across coding, professional work, research, and long-horizon agentic tasks. - Agent Execution: Stronger autonomous planning and better handling of environment feedback, leading to more reliable end-to-end task completion. - Downstream Compatibility: Broader support for popular harnesses and development tools, making it easier to integrate into your existing stack. - Flexible Thinking Control: Reasoning depth can be tuned with reasoningeffort, and reasoning context from historical messages is retained via preservethinking. For more details, please refer to our blog post Qwen3.8-Max. Model Overview - Type: Causal Language Model - Training Stage: Pre-training & Post-training - Language Model - Number of Parameters: 2.4T in total and 95B activated - Hidden Dimension: 8192 - Token Embedding: 248,320 (Padded)

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

How language models work

Variants

Sizes & precisions

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.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys unsloth-qwen3-8-2-4t for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (unsloth-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":"unsloth-qwen3-8-2-4t","messages":[{"role":"user","content":"Hello"}]}'

Details

Languages, data & research

Licence

Commercial licence needed

Sources

Weights & code

Explore

More language models