Nvme Python Packages

experts4bit-qlora

Fine-tune and serve large Mixture-of-Experts models on one GPU, with 4-bit experts in GPU memory, RAM or SSD.

grouped-nf4-gemm

4-bit GPU kernels that compute directly on packed Mixture-of-Experts weights, for training and inference.

lsdsk

Groups disks by the controller they hang off, grades every link against what both ends could do, reads SMART wear and error counters, and reports what is worth acting on. Linux and Windows, no subprocesses, no network.

neurostream

Run transformers larger than memory. Weights stream from NVMe at neuron-block granularity under a hard RAM/VRAM ceiling - 142 GB across 3 shards on an 8 GB GPU. GGUF, MoE selective expert fetch, Triton fused dequant-GEMV kernels.

block-streamer

Stream PyTorch model blocks from NVMe or pinned CPU memory with a bounded GPU residency budget. LoRA-finetune models far larger than host RAM on one GPU - Qwen3-VL-32B and gpt-oss-120b train in under 6 GB of VRAM.

qemu-tool

A minimalistic QEMU and libvirt repo used to generate VMs. Also the home of qemu-tool!

pynvme

builds your own tests.

smartscan

A CLI tool that collects SMART data from disk devices, checks configurable health thresholds, optionally analyses results with an LLM, and tracks history in SQLite.

testforge-cli-utils

TestForge - Hardware/System-Level Test Automation Framework

e4b

Fine-tune and serve large Mixture-of-Experts models on one GPU, with 4-bit experts in GPU memory, RAM or SSD.

experts4bit

Fine-tune and serve large Mixture-of-Experts models on one GPU, with 4-bit experts in GPU memory, RAM or SSD.

e4b-qlora

Fine-tune and serve large Mixture-of-Experts models on one GPU, with 4-bit experts in GPU memory, RAM or SSD.

experts-mxfp4

Fine-tune and serve large Mixture-of-Experts models on one GPU, with 4-bit experts in GPU memory, RAM or SSD.

grouped-mxfp4-gemm

4-bit GPU kernels that compute directly on packed Mixture-of-Experts weights, for training and inference.

expertsnbit

Fine-tune and serve large Mixture-of-Experts models on one GPU, with 4-bit experts in GPU memory, RAM or SSD.

valkey-flash-sizer

Read-only analyzer that samples a Valkey keyspace and estimates the RAM savings from tiering cold entries to NVMe via valkey-flash.

gnf4

4-bit GPU kernels that compute directly on packed Mixture-of-Experts weights, for training and inference.

nf4gemm

4-bit GPU kernels that compute directly on packed Mixture-of-Experts weights, for training and inference.