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Muse Glimmer 30B on free Kaggle T4s

A self-hosted llama.cpp serving stack that runs Muse-Glimmer-30B GGUF with DFlash2 speculative decoding on Kaggle's NVIDIA T4 x2, exposed through an authenticated OpenAI-compatible gateway.

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# Muse-Glimmer-30B GGUF + DFlash2 on Kaggle T4x2
> 🌐 Language / Ngôn ngữ: **English** | [Tiếng Việt](README.vi.md)

![Release](https://img.shields.io/badge/release-v1.0.0-blue)
![License](https://img.shields.io/badge/license-MIT-green)
![CI](https://github.com/dangkhoa2016/Muse-Glimmer-30B-GGUF-DFlash2-Kaggle-GPU-T4x2/actions/workflows/ci.yml/badge.svg)
![Kaggle T4x2](https://img.shields.io/badge/kaggle-T4x2-orange)
![NVIDIA T4 x2](https://img.shields.io/badge/nvidia-T4%20x2-lightgray)
![llama.cpp](https://img.shields.io/badge/runtime-llama.cpp-606060)
![DFlash2](https://img.shields.io/badge/speculative-DFlash2-606060)
![OpenAI compatible](https://img.shields.io/badge/API-OpenAI--compatible-606060)
![Self-hosted](https://img.shields.io/badge/reference-self--hosted-606060)

**Self-hosted `llama.cpp` inference stack for Muse-Glimmer-30B GGUF, accelerated with DFlash2 speculative decoding on Kaggle NVIDIA T4 x2 and exposed through an authenticated OpenAI-compatible API gateway.**

> **This is not the upstream Muse-Glimmer-30B model repository.**
> This repository provides the reproducible serving stack, pinned runtime, authenticated gateway, Kaggle production notebook, and operator workflow required to run the model on your own compute.

### Canonical inference stack

- **Target model:** `Muse-Glimmer-30B-Q4_K_M.gguf`
- **Draft model:** `Muse-Glimmer-30B-DFlash2-Q4_K_M.gguf`
- **Inference runtime:** `llama.cpp` with CUDA
- **Acceleration:** DFlash2 speculative decoding
- **Validated compute:** Kaggle NVIDIA **T4 x2**
- **API:** OpenAI-compatible chat completions with SSE streaming
- **Access layer:** Bearer-authenticated gateway
- **Optional public transport:** Cloudflare Quick Tunnel

> **This repository does not provide a shared hosted inference service.**
> **Users run the stack on their own Kaggle account/infrastructure and consume their own GPU quota.**

---

## Table of contents

1. [Overview](#overview)
2. [Scope / What this is](#scope--what-this-is)
3. [What this is not](#what-this-is-not)
4. [Tested environment](#tested-environment)
5. [Architecture](#architecture)
6. [Requirements](#requirements)
7. [Model files](#model-files)
8. [Integrity / hash verification](#integrity--hash-verification)
9. [Kaggle T4x2 quick start](#kaggle-t4x2-quick-start)
10. [Configuration](#configuration)
11. [Backend startup](#backend-startup)
12. [Gateway startup](#gateway

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