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README.md

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-Edit this `README.md` markdown file to author your organization card.
+ <div align="center">
+
+<img src="https://faultward-failure.zocomputer.io/cards/fleet.svg" alt="Faultward — fine-tuned OSS models, verified & audited, giant-context" width="720"/>
+
+# ⚡ FAULTWARD
+
+**We fine-tune open-source models and give them away.**
+*No website. No API to sell. No customers. Just cooked weights on Hugging Face — fast, smart, and free.*
+
+`⢕⣿⣏⣿⢳⡕⣆⢺⣋⢟`
+
+</div>
+
+---
+
+## 🩸 Who we are
+
+A one-person model lab. We take strong open-source bases — starting with **DavidAU's Qwen3.8-27B Cold Fusion** — and make them **as fast and as smart as possible** with new speed tactics, then release every quant, free, Apache-2.0.
+
+That's the whole company. We don't run a website, sell an API, or take clients. We ship models with receipts.
+
+## 🎯 Mission
+
+> Same brains. More tokens per second. Proven, not vibed.
+
+- **Fast** — speculative MTP, NEO-imatrix int4, flash-attention everywhere, reasoning-effort compression. 2.5–4× the tok/s, identical outputs.
+- **Smart** — every release ships a tok/s table **and** a quality A/B against the base. No "smarter than base" claim without a measured A/B.
+- **Open** — all genres, all use cases, all quants, one gloriously cursed card at a time.
+
+## 🔥 Flagship
+
+<div align="center">
+
+<img src="https://faultward-failure.zocomputer.io/cards/qwen3.8-27b-coldfusion.svg" alt="Qwen3.8-27B Cold Fusion — 91 tok/s, 62% MTP acceptance, 262K context" width="720"/>
+
+</div>
+
+**Qwen3.8-27B Cold Fusion GAIN V1.1 · NEO-MAX · MTP** — DavidAU's six-stage Cold-Fusion + GAIN base, re-quantised NEO-imatrix and sped up. Regular + MTP GGUFs, every quant. Vision-language, three reasoning modes (`xhigh`/`medium`/`low`), 262K context native (→1M extensible).
+
+*Live numbers on the banner above update straight from the bench — the card animates inside any Hugging Face or GitHub README with zero JavaScript.*
+
+## 🖥️ The Fleet
+
+| Node | VRAM | Job |
+|---|---|---|
+| **CMP 170HX** | 64 GB HBM2e (~1.5 TB/s, community-unlocked) | Main cook — QLoRA on 27B, NEO-imatrix, 262K–1M ctx @ q8_0 KV |
+| **2× Titan RTX** | 24 GB each (NVLink 48 GB) | Quant + imatrix workhorse, parallel human eval |
+| **RTX 4060 Laptop** | 8 GB | Kitchen-table testing (not a fleet node) |
+
+*Stack:* Ubuntu 22.04 · CUDA 12.x (never 13 — Turing + GA100 are dropped there) · 570+ open-kernel driver (for the 170HX unlock) · llama.cpp (MTP + imatrix) · vLLM on Ampere. 170HX lives on its own pinned host — snapshot + `apt-mark hold`, never shares a driver stack.
+
+## 🛠️ How we cook
+
+1. **Baseline** the base — fixed prompts, tok/s + a small quality set. Every later number is measured against this.
+2. **Free-lunch config** — flash-attn, `-ctk/-ctv q8_0`, NEO-imatrix int4, tuned low/medium `reasoning_effort`.
+3. **Draft-model speculative** in llama.cpp — pair a Qwen3-0.6B draft with the 27B. Lossless, headline speed-up.
+4. **Stretch: EAGLE-3 head** on vLLM/SGLang — bigger acceptance, same output distribution. The signature move nobody else trains.
+
+## 📌 Operating principles
+
+1. **Proof before panic.** Measure, don't vibe.
+2. **Prove it's lossless** — or say what the speed cost.
+3. **HF is discovery; our cards do the cooking.**
+4. **Boring-reliable beats clever-fragile.** The 170HX stays pinned.
+5. **Ship the series, not the single.** One legendary model beats twenty random merges.
+
+## 🔮 Goals
+
+- [x] v1 Cold Fusion pipeline (COLD-FUSION + GAIN stages) on the 170HX
+- [x] NEO-imatrix + MTP quant chain
+- [x] Animated benchmark cards (live, self-updating, embed anywhere)
+- [ ] **EAGLE-3 speculative draft head** — same outputs, ~3× tok/s
+- [ ] Benchmark harness with honest A/B vs base on every release
+- [ ] `faultward.ai` DNS (nice-to-have; the cards don't need it)
+- [ ] **10 public releases**, receipts on every card
+
+---
+
+<div align="center">
+
+<img src="https://faultward-failure.zocomputer.io/cards/fleet.svg" alt="Faultward fleet" width="720"/>
+
+<sub><b>Faultward</b> — fine-tuned OSS models · verified · audited · giant-context</sub>
+<br/>
+<sub>⢕⣿⣏⣿⢳⡕⣆⢺⣋⢟ · built on <a href="https://zocomputer.com">Zo</a>, a noble steed for the mind</sub>
+
+</div>