| Model profile | ||
|---|---|---|
| Model | Size | Approximate size |
| Qwen 3.8 2.4TModel source: provider262,144 tokens max native context | 2400Bactive 95B | 1440 GB4-bit quantization |
| Compatible hardware Estimated speeds, not benchmark results: calculated from memory bandwidth and model size. Real results can differ significantly because there is no precise formula for deriving LLM generation speed from hardware specifications alone. | ||||
|---|---|---|---|---|
| Hardware | Memory | Bandwidth | vLLM | Estimated generation |
| GB200 NVL72 | 13400 GBGPU HBM3e | 8000 GB/s | yes | 54 tok/s4-bit quantization |
| GB300 NVL72 | 20000 GBGPU HBM3e | 8000 GB/s | yes | 54 tok/s4-bit quantization |
Qwen3.8 is presented as the most capable generation in the Qwen open-model family, featuring the Qwen3.8-2.4T-A95B variant.
Explains Qwen 3.8 2.4T parameters, Unsloth 1-bit builds requiring 450GB RAM, GGUF format, mixture of experts architecture, vendor benchmarks versus independent testing, and licensing distinctions.