funsloth vs Hugging Face
funsloth is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑20.
funsloth is a plugin bundle for AI coding tools published by Chris von Csefalvay. No marketplace we read lists it any more. Hugging Face is an MCP server published by huggingface.co. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-08. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace | ||
|---|---|---|
| Community marketplace chrisvoncsefalvay/funsloth | Removed on 2026-10-20 Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 5 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.2.33 No figure published Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | funslothno longer listed · | Hugging Face |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 5 | No figure on GitHub |
| Forks (GitHub) (differs) | 0 | No figure on GitHub |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | Remote server (huggingface.co/mcp) |
| Transport (differs) | Not stated | Streamable HTTP |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 6 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/chrisvoncsefalvay/funsloth | Not stated |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-15 | 2026-10-11 |
| Endpoint at the last check (differs) | no remote endpoint we check | Responded 16 h ago |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of funsloth
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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unsloth
Install, operate, and troubleshoot Unsloth Core, Studio, and Desktop for local inference and model training. Use for Unsloth environment setup, LoRA/QLoRA supervised fine-tuning…
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Build, train, evaluate, and use open source AI models, datasets, and spaces.
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fine-tuning
LLM fine-tuning frameworks including Axolotl, LLaMA-Factory, PEFT, and Unsloth. Use when fine-tuning models with LoRA, QLoRA, or full fine-tuning.
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LLM post-training — unified interface for SFT, OSFT, LoRA fine-tuning, and GRPO reinforcement learning
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modelhub-port io.github.CloudCorpRecords/modelhub-port
Search and inspect Hugging Face models, datasets, spaces, papers and docs.
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ml-training
Model architectures, tokenization, fine-tuning, post-training, distributed training, optimization.
What each says it does
funsloth
Complete workflow for fine-tuning LLMs with Unsloth: dataset validation, notebook generation, training management, and model deployment
Hugging Face
Connect to Hugging Face Hub and thousands of Gradio AI Applications
How to run each
funsloth
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Hugging Face
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only Hugging Face has a remote endpoint we check. How we check endpoints
Tools each declares
Neither the marketplaces of funsloth nor its endpoint list any tools, so we do not compare tools.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: funsloth · What it can do: Hugging Face · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.