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Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-UltraOptimised-VariableThinking-1M

sourceHugging Faceapache-2.0updated 15d agoView on Hugging Face
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Model Card

<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 / lmhead) in unquantized 16-bit precision alongside Q80 MTP heads to preserve reasoning accuracy (Arc-C 701+ at 4-bit):

Checkpoint FileSizeVRAM BudgetOptimal Target
`...-MAX-MTP-Q4_K_M.gguf`17.23 GB16 GB VRAMThe GOAT 4-bit (16-bit lm_head, Arc-C 701, ideal for RTX 4080 / 16GB GPUs)
`...-MAX-MTP-Q5_K_M.gguf`19.73 GB24 GB VRAMThe GOAT 5-bit (sweet spot of generation speed & reasoning depth)
`...-MAX-MTP-Q6_K.gguf`22.38 GB24–32 GB VRAMHigh-fidelity near-lossless sweet spot for RTX 3090/4090 & Apple Silicon
`...-MAX-MTP-Q8_0.gguf`28.16 GB32 GB+ VRAMFull reference precision
`mmproj-BF16.gguf`0.87 GBSystem RAM/VRAMSpatial-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

LevelPrimary KeyTechnical AliasesMythological AliasCognitive Framework & Behavior
0disablednone, off, direct`Mortal`0 tokens: <think></think> closed immediately for instant direct output.
1ulowultra-low, micro`Hermes`Rapid instinct & sanity check. Direct path from premise to verdict (<150 tokens).
2lowcompact, fast`Apollo`Crisp logic and premise validation with zero cognitive overhead.
3lmedlow-medium, targeted`Artemis`Boundary hunter: tests zero conditions, nulls, and hidden edge cases.
4mediummed, balanced`Athena`Strategic balance: evaluates architectural trade-offs and structural cohesion.
5mhighmedium-high, architect`Prometheus`Proactive forethought: models 10x/100x scale, failure modes, and fault tolerance.
6highdeep, thorough`Solstice`Deep systemic derivation: multi-branch hypothesis trace and red-team falsification.
7xhighextreme-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.