AIが動く。未来が更新される。Qwen3.8-27B-NVFP4-BF16-LMHead
The RadixArk Qwen3.8-27B-NVFP4-BF16-LMHead model is a variant of RadixArk/Qwen3.8-27B-NVFP4, the quantized version of Qwen/Qwen3.8-27B produced at RadixArk using NVIDIA Model Optimizer with a mixed NVFP4 W4A4 recipe. The only difference from the source checkpoint is that `lm_head` is **not** quantized: it uses the original BF16 `lm_head` weights from Qwen/Qwen3.8-27B instead of the NVFP4 W4A4 quantized ones. All other tensors are identical to the source checkpoint. **Run on SGLang**: launch command and per-platform recipes in the Qwen3.8-27B cookbook. This model is not owned or developed by RadixArk. It is a quantized derivative of Qwen's model; see the upstream Qwen3.8-27B model card for the source model's capabilities, training information, limitations, and license.
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The RadixArk Qwen3.8-27B-NVFP4-BF16-LMHead model is a variant of RadixArk/Qwen3.8-27B-NVFP4, the quantized version of Qwen/Qwen3.8-27B produced at RadixArk using NVIDIA Model Optimizer with a mixed NVFP4 W4A4 recipe. The only difference from the source checkpoint is that `lm_head` is **not** quantized: it uses the original BF16 `lm_head` weights from Qwen/Qwen3.8-27B instead of the NVFP4 W4A4 quantized ones. All other tensors are identical to the source checkpoint. **Run on SGLang**: launch command and per-platform recipes in the Qwen3.8-27B cookbook. This model is not owned or developed by RadixArk. It is a quantized derivative of Qwen's model; see the upstream Qwen3.8-27B model card for the source model's capabilities, training information, limitations, and license.