---
language:
- en
- zh
license: apache-2.0
base_model: DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored
tags:
- solstice-ai
- davidau
- qwen
- qwen3.8
- qwen3.8-27b
- cold-fusion
- gain
- project-heretic
- heretic
- uncensored
- abliterated
- fable
- cot
- reasoning
- coding
- gguf
- llama.cpp
- ollama
- mtp
- multi-token-prediction
- speculative-decoding
- vision
- multimodal
- mmproj
- q8_0
- q6_k
- q5_k_m
- q4_k_m
- arc-challenge
- 709-arc
pipeline_tag: image-text-to-text
datasets:
- Solstice-AI/Solace-1.0-Omni
---

<p align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/67c2e844e0921a5410eec10a/Y5M42dCag2f7Fc6fDtV0Z.jpeg" alt="Solstice-AI Banner" width="100%">
</p>

<h1 align="center">Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-1M (GGUF UltraOptimised)</h1>

<h3 align="center">Official Solstice-AI Quantization Suite &bull; Hardware Multi-Token Prediction (MTP) &bull; 10-Level Cognitive Architecture &bull; Twin-Turbo GAIN</h3>

<p align="center">
  <b>Original Model & GAIN Merge by <a href="https://huggingface.co/DavidAU">DavidAU</a> &bull; Curated Quantization, MTP Integration & Cognitive Architecture by <a href="https://huggingface.co/Solstice-AI">Solstice-AI</a></b>
</p>

<p align="center">
  <img src="https://img.shields.io/badge/org-Solstice--AI-blueviolet" alt="Solstice-AI">
  <img src="https://img.shields.io/badge/license-Apache%202.0-blue" alt="License">
  <img src="https://img.shields.io/badge/format-GGUF-orange" alt="Format">
  <img src="https://img.shields.io/badge/speculative-Hardware%20MTP%20(Native)-success" alt="Hardware MTP">
  <img src="https://img.shields.io/badge/arc--c-709%20(Frontier%20Tier)-purple" alt="ARC-C">
  <img src="https://img.shields.io/badge/thinking-10--Level%20Spectrum-brightgreen" alt="10-Level Spectrum">
</p>

---

## Executive Summary

**`Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-UltraOptimised-MTP-1M`** is the curated, zero-bloat GGUF release of DavidAU's flagship **Qwen3.8-27B Twin Turbo Cold Fusion** foundation ([`DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored`](https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored)).

This curated release eliminates non-MAX duplicates, degraded extreme low-bits, and external drafters in favor of **pure, Pareto-optimal checkpoints** with **Native Hardware Multi-Token Prediction (MTP)** and Solstice-AI's **10-Level Cognitive Reasoning Architecture**.

---

## Curated "GOATed" Checkpoints

Every checkpoint in this suite is a **`MAX-MTP`** tier: retaining the critical output tensor (`output.weight` / lm_head) in unquantized 16-bit precision alongside Q8_0 MTP heads to preserve reasoning accuracy (Arc-C 701+ at 4-bit):

| Checkpoint File | Size | VRAM Budget | Optimal Target |
| :--- | :--- | :--- | :--- |
| **`...-MAX-MTP-Q4_K_M.gguf`** | **17.23 GB** | 16 GB VRAM | **The GOAT 4-bit** (16-bit lm_head, Arc-C 701, ideal for RTX 4080 / 16GB GPUs) |
| **`...-MAX-MTP-Q5_K_M.gguf`** | **19.73 GB** | 24 GB VRAM | **The GOAT 5-bit** (sweet spot of generation speed & reasoning depth) |
| **`...-MAX-MTP-Q6_K.gguf`** | **22.38 GB** | 24–32 GB VRAM | High-fidelity near-lossless sweet spot for RTX 3090/4090 & Apple Silicon |
| **`...-MAX-MTP-Q8_0.gguf`** | **28.16 GB** | 32 GB+ VRAM | Full reference precision |
| **`mmproj-BF16.gguf`** | **0.87 GB** | System RAM/VRAM | Spatial-temporal multimodal vision projector (images & video frames) |

---

## 10-Level Cognitive Reasoning Architecture

Built directly into `tokenizer_config.json` and `chat_template.jinja`, this suite introduces a 10-level cognitive spectrum. Levels feature soft-elastic pacing (thoughts scale organically to problem difficulty without artificial token caps).

### Triggering Modes In-Chat & Via API

* **In-Chat Message Tags** (works across Ollama, LM Studio, OpenWebUI, LibreChat):
  * **Thinking Mode**: Add `{REASON:<alias>}` anywhere in your message (e.g., `{REASON:amax}`, `{REASON:uhigh}`, `{REASON:athena}`). The tag is stripped from the prompt and persists across subsequent chat turns.
  * **Instant Instruct Mode (Zero Reasoning Tokens)**: Prefix with `i` (e.g., `{REASON:iamax}`, `{REASON:iuhigh}`, `{REASON:iathena}`) to close `<think></think>` immediately and generate a direct answer framed through that persona.
* **API Parameters**:
  ```python
  # Thinking Mode
  response = client.chat.completions.create(
      model="...",
      messages=[{"role": "user", "content": "Analyze system architecture"}],
      extra_body={"chat_template_kwargs": {"reasoning_effort": "amax"}}
  )

  # Instant Instruct (0 Thinking Tokens)
  response = client.chat.completions.create(
      model="...",
      messages=[{"role": "user", "content": "Fast code generation"}],
      extra_body={"chat_template_kwargs": {"enable_thinking": False, "reasoning_effort": "uhigh"}}
  )
  ```

### The Cognitive Spectrum

| Level | Primary Key | Technical Aliases | Mythological Alias | Cognitive Framework & Behavior |
| :---: | :--- | :--- | :--- | :--- |
| **0** | `disabled` | `none`, `off`, `direct` | **`Mortal`** | **0 tokens**: `<think></think>` closed immediately for instant direct output. |
| **1** | `ulow` | `ultra-low`, `micro` | **`Hermes`** | Rapid instinct & sanity check. Direct path from premise to verdict (<150 tokens). |
| **2** | `low` | `compact`, `fast` | **`Apollo`** | Crisp logic and premise validation with zero cognitive overhead. |
| **3** | `lmed` | `low-medium`, `targeted` | **`Artemis`** | Boundary hunter: tests zero conditions, nulls, and hidden edge cases. |
| **4** | `medium` | `med`, `balanced` | **`Athena`** | Strategic balance: evaluates architectural trade-offs and structural cohesion. |
| **5** | `mhigh` | `medium-high`, `architect` | **`Prometheus`** | Proactive forethought: models 10x/100x scale, failure modes, and fault tolerance. |
| **6** | `high` | `deep`, `thorough` | **`Solstice`** | Deep systemic derivation: multi-branch hypothesis trace and red-team falsification. |
| **7** | `xhigh` | `extreme-high` *(Default)* | **`Hyperion`** | Native Qwen 3.8 continuous derivation and exhaustive semantic deconstruction. |
| **8** | **`uhigh`** | **`ultra-high`**, `swarm` | **`Einstein`** | **20-Agent Swarm**: Deploys 20 virtual perspective agents across Sternberg styles. |
| **9** | **`amax`** | **`absolute-max`**, `deep-research` | **`Oracle`** | **Deep Research Council**: 1–5 complexity scaling, multi-expert panel & audit matrix. |

---

## Quickstart

### Native MTP Speculative Decoding via `llama.cpp`
Checkpoints with `-MTP-` feature native dual-stream token prediction built into the weights (no external drafter file needed):

```bash
# High-speed interactive chat with native MTP
llama-cli \
  --hf-repo Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-UltraOptimised-MTP-1M \
  --hf-file Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf \
  --mmproj mmproj-BF16.gguf \
  -c 1048576 \
  -ngl 99 \
  -p "{REASON:amax} Perform a rigorous architectural evaluation of microservices vs monoliths."
```

### Server Deployment
```bash
llama-server \
  --hf-repo Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-UltraOptimised-MTP-1M \
  --hf-file Qwen3.8-27B-TTURBO-Fable-C-Fusion-709-L-Uncen-NM-DAU-NEO-MAX-MTP-Q4_K_M.gguf \
  --mmproj mmproj-BF16.gguf \
  --host 0.0.0.0 --port 8080 -c 1048576 -ngl 99
```

---

## Citations & Acknowledgments

- **DavidAU** for the phenomenal Qwen3.8-27B Twin-Turbo Cold Fusion GAIN merged base foundation.
- **Qwen Team** for the foundational Qwen 3.8 architecture.
- **Solstice-AI** for downstream curated quantization, MTP packaging, and the 10-level cognitive architecture.