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NInfer documentation

Start with the project README to build NInfer, download a published artifact, and run the CLI or HTTP server.

User guides

Document Purpose
CLI text, chat-history, image/video input, output streams, sampling, MTP, and common runtime options
HTTP serving OpenAI Responses/Chat Completions, Anthropic Messages, state, streaming, token counting, authentication, and tool calls
Performance RTX 5090 measurement coverage, per-model serving results, methodology, and publication rules
Weight conversion official recipes, custom formats and sources, conversion methods, optional components and artifact output
Perplexity fixed-corpus and custom-text causal perplexity, comparison rules, progress, and reports
CLI examples committed text, multimodal, thinking, long-decode, and long-context inputs

The executable --help output is the exact source for command-line option spelling and defaults.

Model artifacts

Model Weights Download Versioned model card source
Qwen3.6-27B groupwise-int Hugging Face model card
Qwen3.6-27B nvfp4 Hugging Face model card
Qwen3.8-27B groupwise-int Hugging Face model card
Qwen3.8-27B nvfp4 Hugging Face model card
Qwen3.6-35B-A3B groupwise-int Hugging Face model card

Repository-local guides

Maintainer references

The active references under maintainer/ record current architecture, model, artifact, and maintenance contracts. These files are not additional user workflows or installed API documentation.

Engine architecture is the single top-level reference. The other references own narrower contracts:

Document Responsibility
Engine architecture model/config/weight ownership, loading-to-execution flow, requests, scheduling, transactions and graphs
Build system CMake targets, explicit source ownership, CUDA compilation boundaries, presets and developer configuration
Artifact container v3 directory, objects, logical bindings, Uses, resources and file framing/sharding
Numeric formats represented values, codes/scales, conversion arithmetic and numerical interpretation
Storage layouts packing, plane offsets, padding, encoded sizes and view addressing
Qwen3.5 model Dense/MoE mathematics, instance config, logical parameters, MTP, Vision and state semantics
DFlash and DFlash2 conditioning, masked draft computation, proposal distributions and backend state
Resource scheduling and context cache candidate selection, retention, materialization and Device/Host checkpoint policy
Paged KV context store typed pools, pages, replicas, address spaces, reservations and consumer views
ReplaySSM GDN raw transition records and faithful commitment of the verified state prefix
Op development semantic boundaries, source ownership, numerical qualification and performance evidence
Operational logging log ownership, presentation, severity and data policy
Linear benchmark pure Linear measurement, metrics and suites
Linear tuning and reports tuning ranges, priority points, dispatch tradeoffs and final performance report format

Model cards contain official artifact facts and source provenance. The conversion guide is the entry point for making an artifact. Exact config fields, parameter expansion and native supported domains are maintained by the code linked from these references.