llm-autotune
PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 29 Jun 2026. How this is checked
llm-autotune is an open source command-line tool that optimizes local large language model (LLM) inference on platforms like Ollama, LM Studio, and MLX. It reduces latency and memory usage, making local LLM deployment more efficient for developers.
Inferred · not functionally tested
Overview
5 featuresPurpose: Improving speed and efficiency of local LLM inference for developers.
Inferred · not functionally tested
Audience: developers running local LLMs
Inferred · not functionally tested
Functions: monitoring
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
In the Inference & model serving space, llm-autotune takes a focused approach. Inferred · not functionally tested: It focuses on improving speed and efficiency of local LLM inference for developers. Inferred · not functionally tested: llm-autotune is an open-source project aimed at developers running local LLMs. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line.
It is developed by tanavc1, and it first shipped in 2026. The project is developed in the open on GitHub with 25 stars and 100 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are LLM optimization, performance tuning, and local inference.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- LLM optimization
- Performance tuning
- Local inference
- CLI interface
- Memory optimization
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about llm-autotune
- What is llm-autotune?
- Inferred · not functionally tested: Llm-autotune focuses on improving speed and efficiency of local LLM inference for developers. It is catalogued under Inference & model serving on PulseGate.
- Who is llm-autotune for?
- Inferred · not functionally tested: llm-autotune is an open-source project built for developers running local LLMs.
- Does llm-autotune have a free plan?
- Basis unknown · not verified: Yes — llm-autotune is open source under the MIT license and free to use.
- What platforms does llm-autotune run on?
- Basis unknown · not verified: llm-autotune runs on the command line.
- Is llm-autotune still active?
- PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 100 commits in the last 90 days.
- What are alternatives to llm-autotune?
- Similar projects tracked by PulseGate include autotune, llmtune-local, and llm-inspector.autotunellmtune-localllm-inspector
- Who makes llm-autotune?
- llm-autotune is developed by tanavc1.
- How long has llm-autotune been around?
- llm-autotune first shipped in 2026.
Similar projects
Closest matches by what these projects do