m37labs-slm-forge
PulseGate's liveness check found it on 28 Sep 2026; it is registered on PyPI and has been in the index since 28 Sep 2026. How this is checked
m37labs-slm-forge is an open-source Python package for building small language models on Mac computers. It provides agent-assisted data preparation, MLX fine-tuning, evaluation, and model export workflows for Apple Silicon.
Inferred · not functionally tested
Overview
6 featuresPurpose: Building and fine-tuning small language models locally on Mac hardware without assembling the workflow manually.
Inferred · not functionally tested
Audience: developers and ML practitioners using Apple Silicon Macs
Inferred · not functionally tested
Functions: code_generation, agents
Inferred · not functionally tested
Interfaces: API: unknown · 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
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org. These links do not verify the individual claims.
m37labs-slm-forge is a Fine-tuning & training project. Inferred · not functionally tested: It focuses on building and fine-tuning small language models locally on Mac hardware without assembling the workflow manually. Inferred · not functionally tested: m37labs-slm-forge is an open-source project aimed at developers and ML practitioners using Apple Silicon Macs. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: m37labs-slm-forge is available on the command line, and it can be self-hosted.
Behind m37labs-slm-forge is M37 Labs, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include agent-assisted workflows, data preparation, and MLX fine-tuning.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Agent-assisted workflows
- Data preparation
- MLX fine-tuning
- LoRA training
- Model evaluation
- Model export
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
3What PulseGate has recorded for this listing
- Indexed28 Sep · 18:14 UTCm37labs-slm-forge seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about m37labs-slm-forge
- What is m37labs-slm-forge?
- Inferred · not functionally tested: M37labs-slm-forge focuses on building and fine-tuning small language models locally on Mac hardware without assembling the workflow manually. It is catalogued under Fine-tuning & training on PulseGate.
- Who should use m37labs-slm-forge?
- Inferred · not functionally tested: m37labs-slm-forge is an open-source project built for developers and ML practitioners using Apple Silicon Macs.
- Is m37labs-slm-forge free?
- Basis unknown · not verified: Yes — m37labs-slm-forge is open source under the Apache-2.0 license and free to use.
- What platforms does m37labs-slm-forge run on?
- Basis unknown · not verified: m37labs-slm-forge runs on the command line. It can also be self-hosted.
- Is m37labs-slm-forge still active?
- PulseGate's liveness check found it on 28 Sep 2026.
- What are alternatives to m37labs-slm-forge?
- Similar projects tracked by PulseGate include temaq-abliterated, heulistic, and taskdistill.temaq-abliteratedheulistictaskdistill
- Who develops m37labs-slm-forge?
- m37labs-slm-forge is developed by M37 Labs.
- When did m37labs-slm-forge launch?
- m37labs-slm-forge first shipped in 2026.
Also in Fine-tuning & training
Same category — not a similarity match