Instructions to use Solstice-AI/Protium-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Solstice-AI/Protium-1.0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Solstice-AI/Protium-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Protium-1.0: Objective-Gated Cognitive Architecture
Zero-Waste Cognitive Protocol • Dynamic Cognitive Impedance • Universal Cross-Family Architecture
Executive Summary
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 correctness is attained.
Equipped with the [L10] Proteus Dynamic Engine as its native default, Protium-1.0 auto-calibrates cognitive depth to the intrinsic difficulty of each prompt—minimizing overhead on direct queries while dynamically allocating full analytical runway for axiomatic proofs and complex engineering tasks.
Architectural Principles
- Token 1 Target Anchoring: At the inception of the cognitive trajectory, the model isolates and locks the exact termination criteria required for a complete, verified solution.
- Forward-Only Deduction: Reasoning progresses strictly forward along deductive axes, eliminating internal conversational stalling and rhetorical hesitation from the attention cache.
- Objective-Gated Early Exit: Deliberation is bounded exclusively by mathematical, programmatic, and empirical verification. The moment the target anchor is verified, thinking terminates immediately and the final response is emitted.
- Delta-Isolated Error Correction: If a logical contradiction or boundary failure is detected during verification, the model isolates and repairs only the specific broken parameter, preventing circular loops or full-context restarts.
- Decisive Operational Delivery: Outputs are delivered with high information density, clear technical rigor, and zero conversational filler.
The Cognitive Spectrum
Protium-1.0 features 11 calibrated reasoning tiers plus specialized multi-agent convergence modes. It defaults natively to [L10] Proteus (Dynamic Adaptive):
| Level | Identifier | Archetype | Operational Focus | Workload Profile |
|---|---|---|---|---|
| [L10] | proteus / dynamic |
Dynamic Adaptive (Default) | Fluid impedance matching | Auto-calibrated depth across all inputs; collapses on lookups, expands on proofs |
| [L0] | mortal / regular |
Instant Execution | Thinking Suppressed | Conversational dialogues, zero-overhead classification, streaming tasks |
| [L1] | hermes |
Rapid Instinct | High-velocity verification | Single-pass sanity checks, syntax validation, arithmetic confirmation |
| [L2] | apollo |
Disciplined Deduction | Linear constraint trace | Parameter mapping, rule following, structured deduction |
| [L3] | artemis |
Boundary & Failure Audit | Edge vulnerability probe | Null/empty states, numeric limits, concurrency collision auditing |
| [L4] | athena |
Strategic Architecture | Modular synthesis | Multi-step refactoring, API interface design, trade-off optimization |
| [L5] | prometheus |
Defensive Engineering | Second-order impact modeling | Fault tolerance, graceful degradation, scaling lifecycle resilience |
| [L6] | solstice |
Deep Systemic Derivation | Multi-hypothesis synthesis | Axiomatic proofs, competing architecture stress-testing |
| [L7] | hyperion |
First-Principles Synthesis | Ground-up decomposition | Comprehensive first-principles decomposition across all logical surfaces |
| [L8] | einstein |
Theoretical Mastery | Unified invariant reduction | Theoretical breakthroughs, advanced algorithmic reduction, formal derivations |
| [L9] | oracle |
Proof-Grade Authority | Formal mathematical verification | Exhaustive formal proofs, zero-placeholder production implementations |
| Swarm | swarm |
20-Perspective Swarm | Divergent conceptual synthesis | Complex multi-perspective cross-pollination and convergence |
| Council | council |
Adversarial Research Panel | Institutional consensus | Formal verification critic panel, candidate scoring, and audit |
Steering & Control Reference
Protium-1.0 supports flexible steering via inline tags or standard inference parameters:
| Control Target | Inline Syntax | API Kwarg / Parameter |
|---|---|---|
| Dynamic Adaptive (Default) | [L10] or {REASON:proteus} |
reasoning_effort="proteus" or "dynamic" |
| Specific Cognitive Levels | [L1] through [L9] |
reasoning_effort="1" .. "9" (or level name) |
| Silent Reasoning | {REASON:i8} |
Runs high-tier analytical rigor with <think> hidden |
| Zero-Overhead Vanilla | [regular] or [vanilla] |
regular=True or mode="vanilla" |
Template Family Distribution
All templates are located in the templates/ directory and pre-configured for native runtime token formats:
| Target Model Architecture | File | Native Format |
|---|---|---|
| Universal / ChatML | templates/universal.jinja |
`< |
| Qwen 2.5 / 3.8 / Vision | templates/qwen.jinja |
`< |
| DeepSeek Native | templates/deepseek.jinja |
<|User|>, <|Assistant|>, Native DSML |
| Meta Llama 3 / 4 | templates/llama3.jinja |
`< |
| Mistral / Mixtral | templates/mistral.jinja |
[INST], [/INST] |
| Google Gemma 2 / 3 | templates/gemma.jinja |
<start_of_turn>, <end_of_turn> |
| Zhipu GLM 4 / 5.3 | templates/glm.jinja |
[gMASK]<sop>, `< |
| Vanilla Reference | templates/regular_*.jinja |
Minimal, zero-overhead baseline templates |