🧠
Unsloth Buddy model by Tyh Labs
⭐ 46.3
🧠
Model

Unsloth Buddy

by Tyh Labs tyh-labs/unsloth-buddy
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 55
P: Popularity 46
R: Recency 91
Q: Quality 70
Tech Context
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID tyh-labs/unsloth-buddy
License MIT
Provider github
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{gh_tool_tyh_labs_unsloth_buddy,
  author = {Tyh Labs},
  title = {Unsloth Buddy Model},
  year = {2026},
  howpublished = {\url{https://github.com/TYH-labs/unsloth-buddy}},
  note = {Accessed via Free2AITools.}
}
APA Style
Tyh Labs. (2026). Unsloth Buddy [Model]. Free2AITools. https://github.com/TYH-labs/unsloth-buddy

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ™ Git Clone
git clone https://github.com/TYH-labs/unsloth-buddy

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 55
Popularity (P) 46
Recency (R) 91
Quality (Q) 70

πŸ’¬ Index Insight

FNI V2.0 for Unsloth Buddy: Authority (A:55), Popularity (P:46), Recency (R:91), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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πŸš€ What's Next?

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Deployment reference

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Technical Deep Dive

unsloth-buddy

unsloth-buddy

GitHub MIT License Python 3.10+ Gaslamp Compatible OpenClaw Compatible Agent Compatible Discord Backend: Unsloth / MLX / llama.cpp

/unsloth-buddy I have 500 customer support Q&As and want to fine-tune a summarization model. I only have a MacBook Air.

Try It Demos Features

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

GitHub Repository
254Stars
14Forks
Repo Issues
πŸ™ Data Source: GitHub β†—
πŸ”„ Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
gh-tool--tyh-labs--unsloth-buddy
slug
tyh-labs--unsloth-buddy
source
github
author
Tyh Labs
license
MIT
tags
apple-silicon, claude-code, dpo, fine-tuning, grpo, huggingface, lora, qlora, rlhf, sft, transformer, unsloth, gaslamp, python

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
other

πŸ“Š Engagement & Metrics

downloads
0
stars
254
forks
14

Data indexed from public sources. Updated daily.