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jamesdborin/glm-5.2-redhat-dspark-sglang
glm-5.2-redhat-dspark-sglang is a machine learning model from jamesdborin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sglang. The card lists the license as apache-2.0.
SGLang-compatible configuration of the Red Hat GLM-5.2 DSpark reference checkpoint.
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From the Hugging Face model README
SGLang-compatible configuration of the Red Hat GLM-5.2 DSpark reference checkpoint.
This repository is an inference-only SGLang packaging of RedHatAI/GLM-5.2-speculator.dspark for nvidia/GLM-5.2-NVFP4. The weights are not converted. The Speculators configuration was flattened and annotated for SGLang's Qwen3DSparkModel loader; the original is retained as speculators_config.json.
Weights are unchanged from the Apache-2.0 licensed Red Hat source model; only the loader configuration is adapted.
python -m sglang.launch_server \
--model-path nvidia/GLM-5.2-NVFP4 \
--tp 4 \
--quantization modelopt_fp4 \
--speculative-algorithm DSPARK \
--speculative-draft-model-path jamesdborin/glm-5.2-redhat-dspark-sglang \
--speculative-draft-model-quantization unquant \
--speculative-dspark-block-size 8 \
--speculative-num-draft-tokens 9 \
--trust-remote-code
Validated with SGLang v0.5.17 on NVIDIA B200 GPUs.
Released under Apache-2.0. The reference speculator originates from RedHatAI/GLM-5.2-speculator.dspark, which is Apache-2.0 licensed. The target model is MIT licensed.