ThoxGlobal-7B

<div align="center"> <img src="hero-family.png" alt="The THOX four-device family" width="100%"> <h1>ThoxGlobal-7B</h1>

THOX Multilingual Assistant (LoRA Adapter + GGUF) — THOX's multilingual assistant model: a LoRA fine-tune (rank 8) published as an adapter with a bundled Q4_K_M GGUF for direct use

Safetensors weights · GGUF: Q4_K_M · Live on Ollama

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Run it: Ollama — Thox-ai/thoxglobal-7b · Find your model: THOX Model Factory · Collection: Open & Pro — Laptop and Desktop Models

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Your AI. Your Data. Your Rules.™

Summary

ThoxGlobal-7B is THOX's multilingual assistant model: a LoRA fine-tune (rank 8) published as an adapter with a bundled Q4_K_M GGUF for direct use.

Highlights

• ThoxGlobal-7B is THOX's multilingual assistant model: a LoRA fine-tune (rank 8) published as an adapter with a bundled Q4_K_M GGUF for direct use.
• Bundled GGUF (Ollama) bash ollama run Thox-ai/thoxglobal-7b

Specifications

Files

Run it

Bundled GGUF (Ollama)

ollama run Thox-ai/thoxglobal-7b

Bundled GGUF (llama.cpp)

hf download Thox-ai/ThoxGlobal-7B --include '*.gguf' --local-dir ./ThoxGlobal-7B
llama-cli -m ./ThoxGlobal-7B/thoxglobal-7b-Q4_K_M.gguf -p "Hello" -n 128

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/ThoxGlobal-7B")

Platforms

Use with ThoxOS

ThoxOS loads this model as a host-class assistant through its local model runtime. Serve the bundled GGUF with Ollama on the ThoxOS host:

ollama run Thox-ai/thoxglobal-7b

ThoxOS points its chat and agent surfaces at the local Ollama endpoint (http://localhost:11434); no cloud account is required and prompts stay on the machine.

Use with MeshStack

On a MeshStack node, pull the model once and serve it to the rest of your mesh:

ollama pull Thox-ai/thoxglobal-7b
ollama serve

Other devices on the same mesh reach it through the node's OpenAI-compatible endpoint (http://<node>:11434/v1). The adapter form can equally be served from the Hugging Face files with llama.cpp:

hf download Thox-ai/ThoxGlobal-7B --include '*.gguf' --local-dir ./ThoxGlobal-7B
llama-cli -m ./ThoxGlobal-7B/thoxglobal-7b-Q4_K_M.gguf -p "Hello" -n 128

Intended use

• Multilingual text generation on hosts and edge machines within the THOX stack.
• Not a safety-aligned public assistant unless deployed behind THOX guardrails.
• 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.

Training data and procedure

THOX fine-tune of Qwen/Qwen2.5-7B-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

• No evaluation artifact or training log is published for this model; no quality figure is claimed.
• Quantized and adapter models make factual mistakes and can produce confident but wrong output; verify important answers.
• Behaviour and bias reflect the training data; quality varies by language.
• Quantization trades accuracy for size.
• Not qualified on THOX device hardware; sized for hosts with at least 8 GB RAM.

Provenance

Published by THOX.ai as Thox-ai/ThoxGlobal-7B. Upstream base: Qwen/Qwen2.5-7B-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

Apache-2.0. The THOX fine-tune and additions in this repo are covered under Apache-2.0; see the license text for terms.

THOX.ai — Your AI. Your Data. Your Rules.™

Citation

@misc{thoxai2026thoxglobal7b,
      title={ThoxGlobal-7B},
      author={THOX.ai},
      year={2026},
      url={https://huggingface.co/Thox-ai/ThoxGlobal-7B}
}