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avifenesh/memra

Inference Engines

Rust + CUDA inference engine for NVIDIA RTX PRO 6000 Blackwell and RTX 5090. Serves safetensors and GGUF over an OpenAI-compatible API, with per-device tuned defaults and speculative decode gated byte-identical to plain decode. Hosted instance: inference.tiyuvta.ai

4.1
GitHub Metrics
Stars
4
Forks
1
Open Issues
73
Watchers
1
Contributors
5
Weekly Commits
0
Language
OpenEdge ABL
License
MIT
Last Commit
Oct 6, 2026
Created
Sep 1, 2026
Latest Release
v0.138.0
Release Date
Sep 11, 2026
Synced: Oct 27, 2026
Quality Scores
Documentation Qualityw: 20%
4.4

Has docs site (https://inference.tiyuvta.ai). Description: 265 chars. Stars signal: 4. Contributors: 5. Score: 4.4/10

Community Healthw: 20%
0.6

Stars: 4. Contributors: 5. Watchers: 1. Forks: 1. Score: 0.6/10

Maintenance Velocityw: 15%
7.2

Last commit: 20d ago. Weekly commits: 0. Latest release: v0.138.0. Score: 7.2/10

API Design & DXw: 20%
5.4

Has documentation site. Permissive license: MIT. Popularity signal: 4 stars. Score: 5.4/10

Production Readinessw: 15%
3.5

Battle-tested: 4 stars. Peer review: 5 contributors. Versioned: v0.138.0. Licensed: MIT. Age: 0.2 years. Maintenance: last commit 20d ago. Score: 3.5/10

Ecosystem Integrationw: 10%
3.8

Fork interest: 1. Ecosystem: OpenEdge ABL. Integration-friendly: MIT. Adoption: 4 stars. Has web presence. Score: 3.8/10

Tags
blackwellcudagemmaggufgpu-kernelsinference-enginellmllm-inferencellm-servingmoe
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration
avifenesh/memra — 4.1/10 — AI/LLM Repository Review — StackQuadrant