I quantize frontier models down into EXL3 and GGUF to fit on smaller GPUs, while also creating the most optimal recipes possible for the latest local LLMs!
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Qwen3.8-Flash-Next-EXL3-DGX-Spark-recipe
Qwen3.8-Flash-Next-EXL3-DGX-Spark-recipe PublicServe Qwen3.8-Flash-Next (turboderp ExLlamaV3 pack) on one NVIDIA DGX Spark with exllamav3
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GLM-5.3-Flash-EXL3-K2-DGX-Spark-recipe
GLM-5.3-Flash-EXL3-K2-DGX-Spark-recipe PublicvLLM recipe: GLM-5.3-Flash EXL3 K2 on one DGX Spark GB10. Native MTP k=2. Measured tok/s.
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DSV4.1-Flash-1017-EXL3-Spark-recipe
DSV4.1-Flash-1017-EXL3-Spark-recipe PublicDSV4.1-Flash-1017 SAGE EXL3 (1.62 bpw) on one DGX Spark with vLLM: DSpark MTP, cold-expert ATS alias, tile-K 16 MoE, memory guard, measured 31-34 tok/s
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DeepSeek-V4.1-Flash-EXL3-DGX-Spark-recipe
DeepSeek-V4.1-Flash-EXL3-DGX-Spark-recipe Public
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