Organization
Solstice-AI
Solstice-AI
AI, Built to work, Built for the real world.
Models in Library20
Datasets in Library0
Models on Hugging Face49
Followers52
Compare the published evidence
This profile connects the 20 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Image and text to text, Text generation, Text to image.
Reported licenses: apache-2.0, mit, other. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
llama.cpp GGUF of deepseek-ai/DeepSeek-V4.1-Flash. This is V4.1-Flash (DeepseekV41ForCausalLM), a causal decoder with engram n-gram lookup tables, hyper-connections and sparse attention. It is not V4-Flash-0731. How to build the engine, serve it, and the gotchas, plus the current status: These files do not run on upstream llama.cpp yet. Conversion works and is open as ggml-org/llama.cpp#28696. The runtime is in progress on the runtime/deepseek41 branch of vcruz305/llama.cpp: the loader, the engram tables and the hyper-connections work and are verified against the reference implementation, and the sparse attention is the remaining piece. Weights land here as each rung finishes. Anything…
Model · Image and text to text
Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-UltraOptimised-VariableThinking-1M
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. 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…
Model · Image and text to text
Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-NM-DAU-UltraOptimised-VariableThinking-GGUF
this fine tune matches the stability and power at "arc-c" 709: (118 pts higher than Qwen 3.8 27B) (The OpenAI, Claude and Gemini "zone of intelligence") in 8 bit and 701 arc-c in 4 bit AND THIS is instruct mode - thinking/reasoning is higher. This version is called TWIN-TURBO because it drastically reduces thinking tokens (by 1/2 to as LOW as 1/20), yet maintains output detail and quality. In other words while "reg" Qwen3.8 27B is thinking about "formatting" for a few 1000 tokens, this model is already done and waiting for more. This repo contains both "regular" and "MTP" Neo and NEO MAX GGUF quants. BUT WE WENT FURTHER: Now with 5 reasoning modes (2 new - UltraXhigh / Einstein), and 5…
Solstice-AI/Qwopus3.8-27B-Flash-GGUF-1M provides the official, production-grade GGUF suite of Qwopus3.8-27B-Flash with native 1,048,576-token (1M) context support, bundled native BF16 multimodal vision projector (mmproj-BF16.gguf), and companion DSpark drafter. Evaluated under the standardized benchmark harness
Model · Image and text to text
Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-mlx-oQ8e-1M
Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-oQ8e-1M is the premier Apple Silicon mixed-precision serving release of DavidAU's flagship Qwen3.8-27B Cold Fusion foundation (DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU). Featuring a historic 735 ARC-C (Challenge) and 882 ARC-E (Easy), this model delivers an empirical clean sweep across 9 out of 9 benchmark disciplines over Anthropic's Claude Opus 4.6 Max under the official Claude Code evaluation harness. Engineered with baked-in 1,048,576 Token (1 Million Token) YaRN RoPE scaling, calibrated via importance matrix optimization (oqimatrixreport.json), and accelerated…
Model · Image and text to text
Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NVFP4-1M
This model is pre-configured with native-esque 1,048,576 token (1M) YaRN scaling baked directly into config.json. Users do not need to supply command-line flags or rope overrides: vLLM and SGLang automatically initialize 1M rotary positional frequencies on load.
Model · Image and text to text
Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-mlx-oQ8e-1M
Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-mlx-oQ8e-1M is the official Apple Silicon MLX release of DavidAU's Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored. Engineered specifically for Apple Silicon Unified Memory architectures (M2, M3, M4, M5 Max / Ultra), this release couples oQ8e imatrix-guided mixed-precision with Solstice's proprietary 10-Level Cognitive Variable Thinking System and native Hardware Multi-Token Prediction (MTP). This checkpoint embeds the Solstice 10-Level Cognitive Jinja chat template, allowing instant dynamic control over reasoning depth
Model · Image and text to text
Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-MXFP4
OCP Microscaling FP4 (MXFP4) format via compressed-tensors with dynamic group scaling, optimized for high throughput inference across modern accelerators.
Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-oQ8e is the native 262K context Apple Silicon mixed-precision serving release of DavidAU's flagship Qwen3.8-27B Cold Fusion foundation (DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU). Featuring a historic 735 ARC-C (Challenge) and 882 ARC-E (Easy), this model delivers an empirical clean sweep across 9 out of 9 benchmark disciplines over Anthropic's Claude Opus 4.6 Max under the official Claude Code evaluation harness. Engineered with native 262,144 Token (262K Token) context, calibrated via importance matrix optimization (oqimatrixreport.json), and accelerated natively by…
Model · Image and text to text
Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-mlx-oQ6e-1M
Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-mlx-oQ6e-1M is the sweet-spot Apple Silicon mixed-precision serving release of DavidAU's flagship Qwen3.8-27B Cold Fusion foundation (DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU). Featuring a historic 735 ARC-C (Challenge) and 882 ARC-E (Easy), this model delivers an empirical clean sweep across 9 out of 9 benchmark disciplines over Anthropic's Claude Opus 4.6 Max under the official Claude Code evaluation harness. Engineered with baked-in 1,048,576 Token (1 Million Token) YaRN RoPE scaling, calibrated via importance matrix optimization (oqimatrixreport.json), and accelerated…
Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-mlx-oQ4e is the official Apple Silicon MLX release of DavidAU's Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored. Engineered specifically for Apple Silicon Unified Memory architectures (M2, M3, M4, M5 Max / Ultra), this release couples oQ4e imatrix-guided mixed-precision with Solstice's proprietary 10-Level Cognitive Variable Thinking System and native Hardware Multi-Token Prediction (MTP). This checkpoint embeds the Solstice 10-Level Cognitive Jinja chat template, allowing instant dynamic control over reasoning depth
Solstice-AI/Qwopus3.8-27B-Flash-mlx-oQ4e-1M provides the official, production-grade Apple Silicon MLX (oQ4e) release of Qwopus3.8-27B-Flash with a native-behaving 1,048,576-token (1M) context window. Official Apple Silicon MLX oQ4e mixed-precision release tailored for macOS unified memory execution with native-behaving 1M context. Evaluated under the standardized benchmark harness: 1M YaRN Scaling & Quantization Suite: Solstice-AI
Model · Image and text to text
Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-mlx-oQ6e-1M
Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-mlx-oQ6e-1M is the official Apple Silicon MLX release of DavidAU's Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored. Engineered specifically for Apple Silicon Unified Memory architectures (M2, M3, M4, M5 Max / Ultra), this release couples oQ6e imatrix-guided mixed-precision with Solstice's proprietary 10-Level Cognitive Variable Thinking System and native Hardware Multi-Token Prediction (MTP). This checkpoint embeds the Solstice 10-Level Cognitive Jinja chat template, allowing instant dynamic control over reasoning depth
Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-mlx-oQ8e is the official Apple Silicon MLX release of DavidAU's Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored. Engineered specifically for Apple Silicon Unified Memory architectures (M2, M3, M4, M5 Max / Ultra), this release couples oQ8e imatrix-guided mixed-precision with Solstice's proprietary 10-Level Cognitive Variable Thinking System and native Hardware Multi-Token Prediction (MTP). This checkpoint embeds the Solstice 10-Level Cognitive Jinja chat template, allowing instant dynamic control over reasoning depth
Solstice-AI/Qwen3.8-27B-TTURBO-Cold-Fusion-709-L-Uncensored-mlx-oQ6e is the official Apple Silicon MLX release of DavidAU's Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored. Engineered specifically for Apple Silicon Unified Memory architectures (M2, M3, M4, M5 Max / Ultra), this release couples oQ6e imatrix-guided mixed-precision with Solstice's proprietary 10-Level Cognitive Variable Thinking System and native Hardware Multi-Token Prediction (MTP). This checkpoint embeds the Solstice 10-Level Cognitive Jinja chat template, allowing instant dynamic control over reasoning depth
Solstice-AI/Qwopus3.8-27B-Flash-mlx-oQ8e-1M provides the official, production-grade Apple Silicon MLX (oQ8e) release of Qwopus3.8-27B-Flash with a native-behaving 1,048,576-token (1M) context window. Official Apple Silicon MLX oQ8e mixed-precision release tailored for macOS unified memory execution with native-behaving 1M context. Evaluated under the standardized benchmark harness: 1M YaRN Scaling & Quantization Suite: Solstice-AI
Solstice-AI/Qwopus3.8-27B-Flash-NVFP4-1M provides the official, production-grade NVIDIA NVFP4 release of Qwopus3.8-27B-Flash with a native-behaving 1,048,576-token (1M) context window. NVIDIA Blackwell-native NVFP4 Tensor Core quantization with baked 1M YaRN scaling, running without runtime flag overhead. Evaluated under the standardized benchmark harness: 1M YaRN Scaling & Quantization Suite: Solstice-AI
Protium-1.0 is Solstice-AI's high-efficiency, objective-gated cognitive reasoning architecture for open-weight foundation models. Named after Protium ($^1\text{H}$) — the fundamental isotope of hydrogen featuring zero neutrons and zero dead weight — Protium-1.0 replaces traditional, unconstrained chain-of-thought bloat with a lean, forward-only reasoning pipeline. Rather than imposing static token minimums, rigid pseudo-schemas, or unconstrained internal deliberation loops, Protium-1.0 operates on an Objective-Gated Protocol: every reasoning sequence anchors its verification criteria at step one, reasons strictly forward toward that objective, and terminates deliberation the moment verified…