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Thox-ai/thox-micro-125m-GGUF overview

thox micro 125m GGUF License https://img.shields.io/badge/License apache 2.0 05A451 Params https://img.shields.io/badge/Params 123M 05A451 Base https://img.shi…

ggufthoxllama.cppq4_0armv6from-scratchon-deviceedgetext-generationenbase_model:Thox-ai/thox-micro-125mbase_model:quantized:Thox-ai/thox-micro-125mlicense:apache-2.0endpoints_compatibleregion:us

Runs locally from ~77.6 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
161
Likes
0
Pipeline
text-generation
Author

Repository Files & Downloads

4 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
thox-micro-125m.f16.ggufGGUFGGUF237.5 MBDownload
thox-micro-125m.q4_0.ggufGGUFGGUF77.6 MBDownload
thox-micro-125m.q4_k_m.ggufGGUFGGUF80.7 MBDownload
thox-micro-125m.q8_0.ggufGGUFGGUF127.0 MBDownload

Model Details

Model IDThox-ai/thox-micro-125m-GGUF
AuthorThox-ai
Pipelinetext-generation
Licenseapache-2.0
Base modelThox-ai/thox-micro-125m
Last modified2026-08-11T11:03:35.000Z

Model README

---

license: apache-2.0

pipeline_tag: text-generation

library_name: gguf

base_model:

- Thox-ai/thox-micro-125m

language:

- en

tags:

- thox

- gguf

- llama.cpp

- q4_0

- armv6

- from-scratch

- on-device

- edge

---

thox-micro-125m-GGUF

!License !Params !Base !GGUF !Format

> Your AI. Your Data. Your Rules.

GGUF builds (Q4_0 → F16) of the from-scratch thox-micro-125m for llama.cpp / on-device.

What this is

  • Quantized from Thox-ai/thox-micro-125m (Apache-2.0).
  • Q4_0 is usable because FFN 2048 is divisible by 32 (unlike the 327M).
  • SHA256SUMS.txt included for verification.

Intended use

On-device / edge text generation within the THOX stack. Not a safety-aligned public assistant unless deployed behind THOX guardrails.

Usage

llama.cpp

huggingface-cli download Thox-ai/thox-micro-125m-GGUF --include '*.gguf' --local-dir ./thox-micro-125m-GGUF
llama-cli -m ./thox-micro-125m-GGUF/model-Q4_0.gguf -p "Hello"

Links

---

THOX.ai LLC — Your AI. Your Data. Your Rules. · On-device and private by design.

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