🧊 Qwen3.8-27B TURBO Cold Fusion β€” Demo

Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-oQ8e-1M
Apple MLX oQ8e Β· 1,048,576-token YaRN Β· Metal-only Β· ~30GB

⚠️ The MLX quant cannot run on Spaces (Linux, no Metal). Live chat below proxies to the identical base weights (DavidAU/…, same merge) via Inference Providers (featherless-ai). For full-fidelity local runs, see the Deploy on Mac tab.
Billed to the token owner. Get a token (fine-grained β†’ Inference Providers). Saved only in this browser's localStorage.

Build exact Qwen3.8 prompts (<think> CoT vs suppressed) for local MLX use.







Formatted prompt

Tokenizer snippet

9-for-9 vs Claude Opus 4.6 Max

SuiteFocusQwen3.8-27B TURBOOpus 4.6 MaxMargin
SWE-bench ProAgentic SWE61.7%53.4%+8.3%
LiveCodeBench v6Live problem solving90.3%88.8%+1.5%
QwenSWEBenchRepo debugging79.0%63.8%+15.2%
OSWorld-VerifiedOS control84.3%72.7%+11.6%
AndroidWorldMobile autonomy81.9%62.0%+19.9%
IFBenchConstraint following79.5%62.5%+17.0%
CoWorkBenchMulti-file workflows70.7%68.2%+2.5%
ARC-CScientific abstraction735~710–720frontier tier
ARC-ECommonsense882~870exceeds frontier

Architecture: 75% Gated Delta (linear) attention + 25% GQA, GAIN Cold-Fusion merge, Project Heretic abliteration, MTP dual-stream drafting (1.7–2.2Γ— on Apple Silicon), importance-matrix calibrated oQ8e, baked-in 1M YaRN RoPE.

Run the real MLX model on your Mac

Option 1 β€” Anvil (recommended)

curl -fsSL https://anvil-llm.github.io/anvil/install.sh | sh
anvil run hf:Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-oQ8e-1M --ctx 1048576 --type-k turbo4 --type-v turbo3
anvil serve hf:Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-oQ8e-1M --port 8080 --ctx 1048576

Option 2 β€” MLX-LM

pip install --upgrade mlx-lm
python -m mlx_lm.generate --model Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-oQ8e-1M --prompt "<|im_start|>user\nHello<|im_end|>\n<|im_start|>assistant\n" --max-tokens 1024 --temp 0.6
python -m mlx_lm.server --model Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-oQ8e-1M --port 8080
MacRAMSpeed1M ctx
Studio M2/M3/M4 Max/Ultra64–128GB58–74 tok/sFull 1M
MBP M3/M4 Max48–64GB50–65 tok/sVia TurboQuant KV
MBP 36GB36GB40–50 tok/sUp to 262K