Skip to content
Back to the index

canirunllm

PyPIInfrastructure

PulseGate's liveness check found it on 8 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 7 Sep 2026. How this is checked

canirunllm is an open-source command-line tool that evaluates which open-source language models can run on a user's hardware. It targets developers and enthusiasts working with local LLMs, GGUF files, llama.cpp, and quantized models.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
Visit PyPI

Overview

5 features

Purpose: Determining which open-source language models are compatible with available hardware.

Inferred · not functionally tested

Audience: developers and local-LLM users

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

canirunllm sits in PulseGate's CLI tools & terminal category. Inferred · not functionally tested: It focuses on determining which open-source language models are compatible with available hardware. Inferred · not functionally tested: canirunllm is an open-source project aimed at developers and local-LLM users. Basis unknown · not verified: canirunllm is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Jashwanth Sai builds and maintains canirunllm, and it first shipped in 2026. Development happens publicly on GitHub with 10 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include hardware compatibility checks, LLM recommendations, and GGUF support.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Hardware compatibility checks
  • LLM recommendations
  • GGUF support
  • Quantization awareness
  • Local model analysis

Topics: Inferred · not functionally tested

Tags
local-llmhardware-compatibilitygguf-modelsquantization
AI capabilities
Text
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Framework
FastAPI
Written with
Claude Code
Runs on
CLISelf-hosted
Written with — evidence
Claude Code
commit 27536294ff9c · since Sep 2026

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed21 Sep · 13:53 UTC
    canirunllm seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed7 Sep · 07:30 UTC
    canirunllm seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about canirunllm

What does canirunllm do?
Inferred · not functionally tested: Canirunllm focuses on determining which open-source language models are compatible with available hardware. It is catalogued under CLI tools & terminal on PulseGate.
Who should use canirunllm?
Inferred · not functionally tested: canirunllm is an open-source project built for developers and local-LLM users.
Is canirunllm free?
Basis unknown · not verified: Yes — canirunllm is open source under the MIT license and free to use.
What platforms does canirunllm run on?
Basis unknown · not verified: canirunllm runs on the command line. It can also be self-hosted.
Is canirunllm still active?
PulseGate's liveness check found it on 8 Oct 2026. Its GitHub repository shows 10 commits in the last 90 days.
What projects are similar to canirunllm?
Similar projects tracked by PulseGate include Whatllmcanirun, whichllm, and llm-cal.Whatllmcanirunwhichllmllm-cal
Who develops canirunllm?
canirunllm is developed by Jashwanth Sai.
When did canirunllm launch?
canirunllm first shipped in 2026.

Similar projects

Closest matches by what these projects do