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taskdistill

PyPIInfrastructure

PulseGate's liveness check found it on 27 Sep 2026; it is registered on PyPI and has been in the index since 27 Sep 2026. How this is checked

taskdistill is an open-source Python package for distilling expensive LLM API calls into smaller local models for narrow tasks. It supports calibration, LoRA-based distillation, MLX workflows, and serving the resulting model behind an OpenAI-compatible cascade.

Inferred · not functionally tested

Open SourceApache-2.0CLISelf-hostedAPI
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Overview

6 features

Purpose: Reducing the cost and latency of repeated expensive LLM API calls for narrow tasks.

Inferred · not functionally tested

Audience: machine learning engineers and developers

Inferred · not functionally tested

Functions: code_generation

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

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

taskdistill sits in PulseGate's Fine-tuning & training category. Inferred · not functionally tested: It focuses on reducing the cost and latency of repeated expensive LLM API calls for narrow tasks. Inferred · not functionally tested: taskdistill is an open-source project aimed at machine learning engineers and developers. Basis unknown · not verified: taskdistill is open source under the Apache-2.0 license. Basis unknown · not verified: taskdistill is available on the command line and API, and it can be self-hosted.

taskdistill first shipped in 2026. Inferred · not functionally tested: Key capabilities include LLM distillation, model calibration, and cascade serving. Inferred · not functionally tested: Catalogued interfaces include a public API.

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

Tasks: Inferred · not functionally tested

  • LLM distillation
  • Model calibration
  • Cascade serving
  • LoRA fine-tuning
  • MLX support
  • Local inference

Topics: Inferred · not functionally tested

Tags
llm-distillationmodel-cascadelocal-inferencelora-fine-tuning
AI capabilities
Text
Inference: LocalWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
API
Runs on
CLISelf-hostedAPI-only

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed27 Sep · 09:01 UTC
    taskdistill seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about taskdistill

What does taskdistill do?
Inferred · not functionally tested: Taskdistill focuses on reducing the cost and latency of repeated expensive LLM API calls for narrow tasks. It is catalogued under Fine-tuning & training on PulseGate.
Who is taskdistill for?
Inferred · not functionally tested: taskdistill is an open-source project built for machine learning engineers and developers.
Does taskdistill have a free plan?
Basis unknown · not verified: Yes — taskdistill is open source under the Apache-2.0 license and free to use.
What platforms does taskdistill run on?
Basis unknown · not verified: taskdistill runs on the command line and API. It can also be self-hosted.
Is taskdistill still active?
PulseGate's liveness check found it on 27 Sep 2026.
What are alternatives to taskdistill?
Similar projects tracked by PulseGate include temaq-abliterated, heulistic, and m37labs-slm-forge.temaq-abliteratedheulisticm37labs-slm-forge
How long has taskdistill been around?
taskdistill first shipped in 2026.
Is taskdistill open source?
Basis unknown · not verified: Yes — taskdistill is open source under the Apache-2.0 license.

Also in Fine-tuning & training

Same category — not a similarity match