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: add L10 Proteus dynamic adaptive reasoning as default
Browse files
README.md
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[](https://huggingface.co/Solstice-AI)
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[](https://huggingface.co/Solstice-AI/Protium-1.0)
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[](https://huggingface.co/Solstice-AI/Protium-1.0)
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**Zero Neutrons. Zero Dead Weight. Pure Thrust.**
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3. **Objective-Gated Early Exit**: The moment the target condition is satisfied and verified, `<think>` terminates immediately. Zero stall, zero padding, zero manufactured doubt.
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4. **Anti-MiG-25 / Delta-Only Correction**: If a contradiction or constraint violation occurs, the model isolates and repairs only the specific broken delta. It never spirals into circular loops or complete restarts.
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5. **Absolute Operational Aura**: Clean, decisive, unhedged output delivery with maximum information density and zero conversational preamble.
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---
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## ποΈ The Cognitive Spectrum
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Protium-1.0
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---
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### 1. llama.cpp / LM Studio
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Pass any family template via the `--chat-template-file` flag:
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```bash
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llama-cli -m model.gguf --chat-template-file templates/qwen.jinja -p "[L4] Refactor this async worker"
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```
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with open("templates/qwen.jinja") as f:
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tokenizer.chat_template = f.read()
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prompt = tokenizer.apply_chat_template(
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[{"role": "user", "content": "Prove that every planar graph is 5-colorable."}],
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tokenize=False,
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add_generation_prompt=True
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)
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## π― Steering Controls
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- `{REASON:i8}`: Silent execution (applies L8 cognitive rigor internally without emitting `<think>`).
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- **Runtime Kwargs**:
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- `reasoning_effort="
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- `regular=True` or `mode="vanilla"` (zero overhead)
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---
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[](https://huggingface.co/Solstice-AI)
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[](https://huggingface.co/Solstice-AI/Protium-1.0)
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[](https://huggingface.co/Solstice-AI/Protium-1.0)
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[](https://huggingface.co/Solstice-AI/Protium-1.0)
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**Zero Neutrons. Zero Dead Weight. Pure Thrust.**
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3. **Objective-Gated Early Exit**: The moment the target condition is satisfied and verified, `<think>` terminates immediately. Zero stall, zero padding, zero manufactured doubt.
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4. **Anti-MiG-25 / Delta-Only Correction**: If a contradiction or constraint violation occurs, the model isolates and repairs only the specific broken delta. It never spirals into circular loops or complete restarts.
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5. **Absolute Operational Aura**: Clean, decisive, unhedged output delivery with maximum information density and zero conversational preamble.
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6. **Zero Token Quotas or Word Floors**: Reasoning depth is guided 100% by problem complexity and verification gates, never an artificial token counter.
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---
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## ποΈ The Cognitive Spectrum
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Protium-1.0 defaults to **`[L10]` Proteus (Dynamic Reasoning)**, which automatically shifts cognitive depth based on intrinsic prompt difficulty:
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| Level | Identifier | Archetype | Operational Focus | Ideal Workload |
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| **[L10]** | `proteus` / `dynamic` | **Dynamic Adaptive (Default)** | **Fluid impedance matching** | **Auto-scales across all queries (near-zero on simple, expands on hard)** |
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| **[L0]** | `mortal` / `regular` | Instant Execution | Thinking OFF | Conversational chat, pure classification, basic summarization |
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| **[L1]** | `hermes` | Rapid Instinct | High-velocity check | Instant sanity checks, syntax validation, arithmetic verification |
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| **[L2]** | `apollo` | Disciplined Deduction | Linear implication | Constraint mapping, structured rule following, direct logic |
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| **[L3]** | `artemis` | Boundary & Failure Audit | Edge vulnerability probe | Null checks, type boundaries, concurrency hazard audits |
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| **[L4]** | `athena` | Strategic Architecture | Modular synthesis | Multi-step refactors, API design, trade-off optimization |
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| **[L5]** | `prometheus` | Defensive Engineering | Second-order modeling | Fault tolerance, scaling bottlenecks, lifecycle resilience |
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| **[L6]** | `solstice` | Deep Systemic Derivation | Axiomatic derivation | Dual-hypothesis synthesis, axiomatic proof, stress-testing |
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| **[L7]** | `hyperion` | First-Principles Synthesis | Ground-up decomposition | Comprehensive first-principles decomposition |
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| **[L8]** | `einstein` | Theoretical Mastery | Unified invariant reduction | Theoretical breakthroughs, deep algorithms, continuous derivations |
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| **[L9]** | `oracle` | Proof-Grade Authority | Formal proof verification | Exhaustive formal proofs, zero-placeholder implementations |
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| **Swarm** | `swarm` | 20-Perspective Swarm | Divergent synthesis | Breakthrough ideation, multi-perspective tension resolution |
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| **Council**| `council` | Adversarial Research Panel | Institutional consensus | Multi-specialist consensus, formal verification, audit |
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---
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### 1. llama.cpp / LM Studio
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Pass any family template via the `--chat-template-file` flag:
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```bash
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# Default Proteus dynamic reasoning:
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llama-cli -m model.gguf --chat-template-file templates/qwen.jinja -p "Refactor this async worker"
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# Explicit level steering:
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llama-cli -m model.gguf --chat-template-file templates/qwen.jinja -p "[L4] Refactor this async worker"
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```
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with open("templates/qwen.jinja") as f:
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tokenizer.chat_template = f.read()
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# Dynamic default:
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prompt = tokenizer.apply_chat_template(
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[{"role": "user", "content": "Prove that every planar graph is 5-colorable."}],
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tokenize=False,
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add_generation_prompt=True
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)
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# Explicit level:
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prompt_athena = tokenizer.apply_chat_template(
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[{"role": "user", "content": "Refactor this code"}],
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reasoning_effort="athena",
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tokenize=False,
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add_generation_prompt=True
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)
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## π― Steering Controls
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- **Inline Steering**:
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- `[L10]` or `{REASON:proteus}`: Dynamic unconstrained adaptive reasoning (Default).
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- `[L4]` or `{REASON:athena}`: Locks to Athena modular balance.
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- `[L8]` or `{REASON:einstein}`: Locks to Einstein theoretical level.
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- `[regular]` or `[vanilla]`: Pure clean zero-overhead template without think tags.
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- `{REASON:i8}`: Silent execution (runs L8 cognitive rigor internally without emitting `<think>`).
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- **Runtime Kwargs**:
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- `reasoning_effort="10"|"proteus"|"dynamic"|"auto"`
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- `reasoning_effort="1".."9"` or named levels (`hermes`, `apollo`, `artemis`, `athena`, `prometheus`, `solstice`, `hyperion`, `einstein`, `oracle`, `swarm`, `council`)
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- `regular=True` or `mode="vanilla"` (zero overhead)
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---
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