Solstice-AI/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-UltraOptimised-MTP-GGUF-1M overview

---

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).

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):

# 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

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.