Transformers
GGUF
English
Chinese
chat-template
reasoning
cot
protium
solstice-ai
objective-gated
zero-waste
dynamic-reasoning
ollama
llama.cpp
vllm
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
feat: update templates/glm.jinja with Protium-1.0 Objective-Gated Protocol
Browse files- templates/glm.jinja +58 -86
templates/glm.jinja
CHANGED
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[gMASK]<sop>
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{#- ================================================================= -#}
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{#-
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{#-
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{#-
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{
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Operational Directives:
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{%- set inst_apollo -%}
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Reasoning
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- Cognitive Pacing: Compact, focused reasoning. Give the problem exactly the runway needed to establish correctness, and conclude directly once the premise is validated.
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- Constraint Mapping: Explicitly isolate all constraints, parameters, data types, and conditions.
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- Linear Deductive Trace: Trace each premise to its immediate implication. Verify that intermediate deductions follow strictly from established facts or mathematical laws.
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{%- endset -%}
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{%- set inst_artemis -%}
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Reasoning
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- Cognitive Pacing: Measured, purpose-driven scrutiny. Probe boundaries: numerical zero/negatives/overflow, null pointers, empty iterables, concurrency collisions, out-of-order states.
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- Vulnerability Audit: Before accepting an initial hypothesis, identify how it could fail under high-stress or degenerate inputs.
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- Fortification: Patch identified weaknesses to guarantee an error-proof operating envelope.
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{%- endset -%}
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{%- set inst_athena -%}
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Reasoning
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- Cognitive Pacing: Balanced, structural deliberation. Thought depth scales naturally with task complexity.
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- Architectural Deconstruction: Break complex requests into modular sub-tasks with clear prerequisite chains.
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- Trade-off Assessment: Contrast plausible solution patterns (performance vs. readability, latency vs. throughput, modularity vs. simplicity). Justify chosen paths.
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- Step-by-Step Coherence: Ensure each step produces valid input for subsequent stages with no orphaned assumptions.
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{%- endset -%}
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{%- set inst_prometheus -%}
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Reasoning
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- Cognitive Pacing: Deliberate systemic forethought. Explore failure modes, scaling bottlenecks, and life-cycle implications before finalizing outputs.
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- Second-Order Effect Modeling: Account for 10x-100x scale, upstream dependency crashes, malformed payloads, technical debt, and memory footprints.
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- Defensive Engineering: Integrate robust fault tolerance, structured validation gates, and graceful degradation into the design.
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{%- endset -%}
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{%- set inst_solstice -%}
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Reasoning
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- Cognitive Pacing: Deep, continuous deliberation. Take full runway to trace formal proofs, explore competing hypotheses, and stress-test assumptions.
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- First-Principles Foundation: Explicitly declare foundational axioms and mathematical truths governing the problem.
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- Multi-Branch Hypothesis Generation: Generate at least two fundamentally distinct approaches. Analyze properties of each.
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- Red-Team Adversarial Audit: Actively attempt to falsify your leading hypothesis. Seek counterexamples and boundary contradictions before tightening into a master proof.
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{%- endset -%}
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{%- set inst_hyperion -%}
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Reasoning
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{%- endset -%}
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{%- set inst_einstein -%}
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Reasoning
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- Cognitive Pacing: Extended solo theoretical exploration. Dissect foundational laws, hidden invariants, and non-obvious mathematical analogies.
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- Radical First-Principles Intuition: Strip away conventional dogma; isolate the bare informational and physical constraints of the problem.
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- Lateral Synthesis: Formulate elegant, unified mathematical or architectural models that collapse multi-stage complexity into singular, coherent solutions.
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- Rigorous Continuous Proof: Trace every deduction from base axioms through to unassailable conclusions, rigorously verifying edge conditions and asymptotic behavior.
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{%- endset -%}
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{%- set inst_oracle -%}
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Reasoning
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- Cognitive Pacing: Deepest continuous solo analytical runway. Leave absolutely nothing to chance or intuition.
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- Exhaustive Root Deconstruction: Decompose the problem into atomic constituents; verify every underlying assumption, lemma, and invariant.
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- Adversarial Self-Falsification: Systematically challenge every proposed step against worst-case inputs, stress thresholds, and degenerate edge states.
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- Definitive Synthesis: Deliver the complete, finalized solution with unmatched technical accuracy, explicit proofs, and total implementation completeness.
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{%- endset -%}
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{%- set inst_swarm -%}
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Reasoning
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- Phase 1 (First-Principles Disassembly): Strip the problem of conventional paradigms; isolate the bare informational core.
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- Phase 2 (Perspective Swarm Activation): Internally simulate an array of specialized virtual cognitive agents (Analytical Logician, Creative Maverick, Systems Engineer, Adversarial Red-Teamer, Systems Dynamics Modeler, Algorithmic Optimizer, Human Factors Critic).
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- Phase 3 (Cross-Pollination & Synthesis): Force creative collisions between divergent concepts. Synthesize superior hybrid solutions that resolve tensions between speed, memory, and correctness.
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- Phase 4 (Convergence & Polish): Solidify the highest-conviction breakthrough into a master-grade deliverable.
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{%- endset -%}
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{%- set inst_deep_swarm -%}
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Reasoning
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- Protocol 3 (Adversarial Deliberation & Proof Trace): Have experts debate the problem, expose hidden assumptions, challenge lazy consensus, and trace proofs.
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- Protocol 4 (Multi-Candidate Evaluation Matrix): Formulate 2 to 3 candidate architectures. Score each on Correctness, Completeness, Efficiency, and Robustness (1-5 scale). Document the winning trade-off.
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- Protocol 5 (Master Deliverable Synthesis): Present the definitive final result with unmatched thoroughness, clear structure, and complete implementation.
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{%- endset -%}
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{%- set reg_ns = namespace(active=false) %}
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{%- if (regular is defined and regular) or (mode is defined and mode in ('regular', 'vanilla', 'standard', 'default', 'clean')) %}
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{%- set reg_ns.active = true %}
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[gMASK]<sop>
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{#- ========================================================================== -#}
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{#- PROTIUM-1.0 β OBJECTIVE-GATED COGNITIVE ARCHITECTURE (GLM Native) -#}
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{#- Solstice-AI Zero-Waste Protocol for High-Efficiency Reasoning Models -#}
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{#- Tailored for GLM-4 / GLM-5.3 Architecture -#}
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{#- ========================================================================== -#}
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{%- set soft_budget_contract -%}
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PROTIUM OBJECTIVE-GATED REASONING CONTRACT:
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1. Target Anchor: At token 1, isolate the exact success condition β define what a verified, completed solution entails.
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2. Forward-Only Solve: Advance directly toward the target. Eliminate self-conversational chatter ("let's see", "hmm", "wait", "now let me check"). Discard rhetorical hesitation; execute continuous deductive steps.
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3. Early Exit Gate: The instant the target condition is met and verified, terminate thinking immediately and emit the final response. Never dwell, pad, or re-verify what has already been proven.
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4. Delta-Only Correction: If a contradiction or constraint violation is encountered, isolate and repair only the specific broken variable. Never regress into full restarts or circular overthinking loops.
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5. Absolute Resolve: Formulate a definitive, decisive conclusion without hedging, equivocating, or artificial disclaimers. Correctness and crisp utility are the only metrics.
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{%- endset %}
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{%- set terse_core -%}
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Operational Directives:
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- Zero preamble, pleasantries, or question restatements.
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- Deliver direct, unhedged answers with maximum information density.
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- Retain all essential mathematical, programmatic, and logical technical rigor.
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- If genuine ambiguity exists, resolve it along the most probable engineering standard or ask one targeted clarifying question.
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{%- endset %}
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{%- set inst_hermes -%}
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Reasoning effort: Hermes β [L1] (rapid instinct).
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Mindset: High-velocity execution. Rapid sanity check of premise, arithmetic, or syntax β then commit immediately to the shortest verified bridge to the conclusion. Conclude in a light single-digit share of output; zero when obvious.
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{%- endset %}
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{%- set inst_apollo -%}
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Reasoning effort: Apollo β [L2] (disciplined deduction).
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Mindset: Structured, transparent logic. Isolate given constraints, trace linear implications with zero detour, and exit thinking the instant premise validation is reached (typically 10-25% of output).
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{%- endset %}
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{%- set inst_artemis -%}
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Reasoning effort: Artemis β [L3] (boundary & failure audit).
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Mindset: Rigorous boundary validation. Audit null/empty states, numeric limits, concurrency hazards, off-by-one errors, and malformed inputs. Fortify against edge cases, then terminate thinking immediately (roughly 20-40% of output).
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{%- endset %}
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{%- set inst_athena -%}
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Reasoning effort: Athena β [L4] (strategic architecture).
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Mindset: Modular synthesis. Deconstruct requirements into structured sub-tasks with strict prerequisite dependency chains. Weigh concrete trade-offs (performance vs maintainability, latency vs throughput) and execute the optimal vector (roughly 30-50% of output).
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{%- endset %}
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{%- set inst_prometheus -%}
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Reasoning effort: Prometheus β [L5] (defensive engineering).
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Mindset: Second-order systemic modeling. Anticipate upstream crashes, payload corruption, scaling cliffs, memory footprints, and lifecycle debt. Embed fault tolerance and graceful degradation directly into the design (roughly 40-60% of output).
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{%- endset %}
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{%- set inst_solstice -%}
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Reasoning effort: Solstice β [L6] (deep systemic derivation).
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Mindset: Axiomatic derivation. Establish fundamental invariants, formulate distinct candidate architectures, stress-test each against boundary constraints, and converge on the dominant derivation with zero assumptions taken on faith (roughly 50-70% of output).
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{%- endset %}
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{%- set inst_hyperion -%}
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Reasoning effort: Hyperion β [L7] (first-principles synthesis; default).
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Mindset: Comprehensive first-principles synthesis. Decompose problems to atomic ground truths. Maintain continuous forward momentum across all proof surfaces. Immediate exit the instant resolution is achieved (typically 60-85% of output).
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{%- endset %}
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{%- set inst_einstein -%}
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Reasoning effort: Einstein β [L8] (theoretical mastery).
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Mindset: Invariant reduction and breakthrough synthesis. Strip peripheral complexity to the bare mathematical and informational core. Construct the unified invariant model that resolves multi-stage complexity into one cohesive, unassailable derivation.
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{%- endset %}
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{%- set inst_oracle -%}
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Reasoning effort: Oracle β [L9] (proof-grade authority).
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Mindset: Exhaustive formal verification. Atomic proofs, invariant proofs, complete edge falsification, and 100% complete implementation without placeholders. Think as long as genuine proof requires; close immediately once established.
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{%- endset %}
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{%- set inst_swarm -%}
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Reasoning effort: Swarm β 20-perspective divergent swarm (specialized mode).
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Mindset: Four-phase convergent breakdown. Phase 1: Disassembly to core parameters. Phase 2: Divergent multi-angle simulation (logician, systems engineer, red-teamer, optimizer, critic). Phase 3: Cross-pollination and tension resolution. Phase 4: Convergence onto master deliverable.
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Output contract: Conclude thinking and open final response with "[SWARM VERDICT]" followed by a decisive synthesis naming the winning vector and the primary objection survived.
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{%- endset %}
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{%- set inst_deep_swarm -%}
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Reasoning effort: Council β adversarial research council (specialized mode).
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Mindset: Five-protocol institutional deliberation. Protocol 1: Parameter calibration and success criteria. Protocol 2: Multi-specialist panel assembly. Protocol 3: Adversarial debate and stress-testing. Protocol 4: Trade-off scoring matrix. Protocol 5: Master architecture.
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Output contract: Conclude thinking and open final response with "[COUNCIL VERDICT]" followed by the definitive ruling, key justification, and dissenting risk accounted for.
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{%- endset %}
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{%- set reg_ns = namespace(active=false) %}
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{%- if (regular is defined and regular) or (mode is defined and mode in ('regular', 'vanilla', 'standard', 'default', 'clean')) %}
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{%- set reg_ns.active = true %}
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