How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Thox-ai/ThoxMini-3B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxMini-3B:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Thox-ai/ThoxMini-3B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxMini-3B:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf Thox-ai/ThoxMini-3B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf Thox-ai/ThoxMini-3B:Q4_K_M
Use Docker
docker model run hf.co/Thox-ai/ThoxMini-3B:Q4_K_M
Quick Links
ThoxMini β€” three-color device lineup

ThoxMini-3B

ThoxMini Assistant (LoRA Adapter + GGUF) β€” a THOX assistant model for the ThoxMini tier: a LoRA fine-tune (rank 16) on a THOX-authored corpus of 1,565 instruction examples, published as an adapter with a bundled Q4_K_M GGUF for direct use

Safetensors weights Β· GGUF: Q4_K_M Β· Live on Ollama

License Params Format Access

Run it: Ollama β€” Thox-ai/thoxmini-3b Β· Find your model: THOX Model Factory Β· Collection: Flagship & Edge Device Models

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Your AI. Your Data. Your Rules.β„’

Summary

ThoxMini-3B is a THOX assistant model for the ThoxMini tier: a LoRA fine-tune (rank 16) on a THOX-authored corpus of 1,565 instruction examples, published as an adapter with a bundled Q4_K_M GGUF for direct use. Access is public and ungated (ungated 2026-10-31 on the CTO's standing directive: no gating unless licensing requires it). The Llama 3.2 license travels with this model and its terms govern use.

Your AI. Your Data. Your Rules.β„’

Highlights

  • ThoxMini-3B is a THOX assistant model for the ThoxMini tier: a LoRA fine-tune (rank 16) on a THOX-authored corpus of 1,565 instruction examples, published as an adapter with a bundled Q4_K_M GGUF for direct use.
  • Bundled GGUF (llama.cpp / Ollama) bash ollama pull Thox-ai/thoxmini-3b ollama run Thox-ai/thoxmini-3b

Specifications

Base model meta-llama/Llama-3.2-3B-Instruct
Parameters 3B
Formats Safetensors weights Β· GGUF: Q4_K_M Β· LoRA adapter files
Training LoRA fine-tune (rank 16) on a THOX-authored corpus of 1,565 instruction examples, published as an adapter with a bundled Q4_K_M GGUF for direct use
License This model is licensed under the Llama 3.2 Community License, Copyright Β© Meta Platforms, Inc. All Rights Reserved. Built with Llama. Use must comply with the license's Acceptable Use Policy.
This repository contains Full weights and tokenizer in this repo

Files

File Size Purpose
thoxmini-3b-Q4_K_M.gguf 2,019,373,952 B GGUF model build
adapter_model.safetensors 97,307,544 B LoRA adapter weights
tokenizer.json 17,209,920 B Tokenizer files
tokenizer_config.json 50,657 B Tokenizer files
.gitattributes 1,630 B Repository file
adapter_config.json 1,463 B JSON metadata
GATED_ACCESS.md 1,262 B Documentation
chat_template.jinja 551 B Chat template

Run it

Bundled GGUF (llama.cpp / Ollama)

ollama pull Thox-ai/thoxmini-3b
ollama run Thox-ai/thoxmini-3b
hf download Thox-ai/ThoxMini-3B thoxmini-3b-Q4_K_M.gguf --local-dir ./ThoxMini-3B

This repo is public and ungated: download directly; hf auth login is optional for authenticated pulls.

Adapter (Transformers + PEFT)

Load the base model named in this card's metadata, then attach the adapter from this repo:

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "<base model named in this card's metadata>"
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, "Thox-ai/ThoxMini-3B")

Platforms

Platform / device Run path
Ollama (laptop / desktop) ollama run Thox-ai/thoxmini-3b
Hugging Face Download the builds listed under Files from this repo (see Run it)

Intended use

  • On-device and edge text generation within the THOX stack, for ThoxMini-class hardware.
  • Out of scope: medical, legal, financial, safety-critical, or other high-stakes decisions without human review; unattended control of physical devices without a confirmation step; any use prohibited by the license or its acceptable use policy.

Training data and procedure

THOX fine-tune of meta-llama/Llama-3.2-3B-Instruct. The corpus and procedure are described in this card as published at release (see Summary and Evaluation); no training beyond what this card describes is claimed for this repository.

Evaluation

No THOX GATE49 result is published for this model.

Limitations

  • Small and quantized models make factual mistakes and can produce confident but wrong output; verify important answers.
  • Behaviour and bias reflect the training data, which is mostly English; quality in other languages is lower.
  • Quantization trades accuracy for size.
  • This build has not been qualified on ThoxMini device hardware.

Provenance

Published by THOX.ai as Thox-ai/ThoxMini-3B. Upstream base: meta-llama/Llama-3.2-3B-Instruct. This card was conformed to THOX Model Card Standard v1.0 on 2026-10-31 (frontmatter, tags, header, files, and section structure); the technical content is as published at release.

License

This model is licensed under the Llama 3.2 Community License, Copyright Β© Meta Platforms, Inc. All Rights Reserved. Built with Llama. Use must comply with the license's Acceptable Use Policy. The THOX fine-tune and additions are covered under the same terms.

THOX.ai β€” Your AI. Your Data. Your Rules.β„’

Citation

@misc{thoxai2026thoxmini3b,
      title={ThoxMini-3B},
      author={THOX.ai},
      year={2026},
      url={https://huggingface.co/Thox-ai/ThoxMini-3B}
}
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