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Lvllmds4

★ 22 Open GitHub ↗

A fork of jasl/vllm (codex/ds4-sm120-min-enable) with CPU-GPU hybrid inference support for DeepSeek-V4 on SM120+.

// repository documentation

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# Lvllmds4

A fork of [jasl/vllm](https://github.com/jasl/vllm) (branch: `codex/ds4-sm120-min-enable`) with CPU-GPU hybrid inference support for DeepSeek-V4 on SM120+.

## Origin

This project integrates the CPU-GPU hybrid inference engine **[lk_moe](https://pypi.org/project/lk-moe/)** into a specialized vLLM fork:

- **Base vLLM Fork:** Forked from `jasl/vllm` (branch `codex/ds4-sm120-min-enable`), which provides the compatibility modifications needed for DeepSeek-V4 on SM120 architecture.
- **Hybrid Inference:** The lk_moe engine enables MOE layers to leverage both GPU VRAM and CPU system memory for collaborative computation, with NUMA-aware scheduling and expert weight management.

This version is purpose-built to run **DeepSeek V4 on hardware with SM120+ compute capability**.

## Relationship with LvLLM

Lvllmds4 is part of the LvLLM ecosystem—a family of parallel projects that integrate the lk_moe hybrid inference engine into different vLLM branches for different model/hardware targets:

| Project | Upstream vLLM Branch | Target |
|---------|---------------------|--------|
| [LvLLM](https://github.com/guqiong96/Lvllm) | Latest vLLM mainline | General MoE models (Qwen3, GLM, MiniMax, Kimi, etc.) |
| Lvllmds4 (this repo) | `jasl/vllm` (`codex/ds4-sm120-min-enable`) | DeepSeek-V4 (SM120+) |
| [Lvllmds4-x](https://github.com/guqiong96/Lvllmds4-x) | `yhfgyyf/vllm-deepseek-v4-sm89` | DeepSeek-V4 (SM80+) |

Similarly, **[Lsglang](https://github.com/guqiong96/Lsglang)** integrates lk_moe into sglang for the same hybrid inference capabilities across frameworks.

## Performance Benchmark
Open GPU Prefill, max_num_batched_tokens=8192 (Row 1), max_num_batched_tokens=32768 (Row 2)
| Model | Version | CPU | Memory | GPU | Prefill | Decode | Speculative Decoding |
|-------|---------|-----|--------|-----|---------|--------|---------|
| deepseek-ai/DeepSeek-V4-Flash-0731 | Lvllmds4-x-v2.3.9 | EPYC 7642 *2 | 16 channels ddr4 3200 | 3090 * 2 | 1060 t/s [input 32768]| 26 t/s [input 32768]| 35~47 t/s |
| deepseek-ai/DeepSeek-V4-Flash-0731 | Lvllmds4-v2.3.9 | EPYC 9684x *2 | 24 channels ddr5 4800 | pro 6000 * 1 | 3100 t/s [input 131072]| 75 t/s [input 131072]| 100~115 t/s |

## Usage Guide

Pre-built releases and detailed installation/usage instructions for DeepSeek-V4 on SM120+ are available on the **[Releases page](https://github.com/guqiong96/Lvllmds4/releases)**.

Lvllmds4

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