Text Generation
Transformers
PyTorch
English
burt-imma
custom-architecture
matrix-memory
equilibrium-propagation
cifg
sovereign
snapkitty
no-backprop
formal-verification
lean4
agents
python
Instructions to use Snapkitty/burt-imma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Snapkitty/burt-imma with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Snapkitty/burt-imma")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Snapkitty/burt-imma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Snapkitty/burt-imma with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Snapkitty/burt-imma" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Snapkitty/burt-imma", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Snapkitty/burt-imma
- SGLang
How to use Snapkitty/burt-imma with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Snapkitty/burt-imma" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Snapkitty/burt-imma", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Snapkitty/burt-imma" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Snapkitty/burt-imma", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Snapkitty/burt-imma with Docker Model Runner:
docker model run hf.co/Snapkitty/burt-imma
File size: 10,487 Bytes
b88c26d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 | # BURT-IMMA: Multi-System Formal Verification Architecture
## Abstract
This paper documents the formal verification architecture of BURT-IMMA (BiEncoder Unified Retrieval-Transformer with Instruction, Memory, and Mixture of Experts Agents). We present machine-checked proofs across five formal systems β Lean 4, Idris 2, Rust (runtime), Q# (quantum), and OpenQASM 3 β covering matrix-memory equilibrium propagation (MMEP), Restricted Boltzmann Machine (RBM) invariants, smooth activation function properties, and Schwarzschild black hole physics. Zero sorry terms across all Lean 4 modules.
---
## 1. Architecture Overview
```
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β BURT-IMMA Stack β
ββββββββββββββββ¬βββββββββββββββ¬βββββββββββββββ¬βββββββββββββββββββββ€
β Lean 4 β Idris 2 β Rust β Quantum β
β (proofs) β (dep. types)β (runtime) β (Q# / QASM 3) β
ββββββββββββββββ΄βββββββββββββββ΄βββββββββββββββ΄βββββββββββββββββββββ€
β Mathematical foundation: MMEP + RBM + BlackHole + Activation β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
```
The architecture separates four concerns:
1. **Proof layer** (Lean 4): machine-checked invariants, zero sorry
2. **Dependent-type layer** (Idris 2): constructive witnesses, structural types
3. **Runtime layer** (Rust): zero-allocation, SIMD-ready execution
4. **Quantum layer** (Q# + OpenQASM 3): amplitude encoding, Gibbs sampling
---
## 2. Module Inventory
### 2.1 Lean 4 Modules (lean4/)
| Module | Theorems | Key Results |
|--------|----------|-------------|
| `MMEP_Convergence` | 8 | Energy bounded below, equilibrium exists, memory stability (2ΓΟ_ret), training feasibility |
| `SmoothLeakyActivation` | 7 | `f'β(Ξ±,1)`, C^β smoothness, `f(x)<0` for `x<0`, `f(0)=0`, limit behavior |
| `AnuQuantumInterference` | 6 | Destructive/constructive preservation, phase shift bounds, perturbation structure |
| `RBM` | 10 | Sigmoid bounds, conditional validity, energy bipartite, CD-1 stability, detailed balance, monotonicity |
| `BlackHoleGravity` | 30 | All Schwarzschild, Kerr, RN, thermodynamics, wormholes, GW theorems |
| `SparkDeterministicExecutor` | 4 | Contract preservation, determinism, LoRA base weights |
| `BURT_IMMA_Formalization` | 15 | EP invariants, temperature bisection, routing entropy bounds |
| `BooleanPerceptron` | varies | Boolean algebra completeness via NAND |
### 2.2 RBM Multi-System (rbm/)
| File | Language | Purpose |
|------|----------|---------|
| `src/lib.rs` | Rust | CD-1 trainer, free energy, Gibbs chain |
| `RBM.qs` | Q# | QAOA Gibbs preparation, SWAP test, Bernoulli gate |
| `rbm_sampler.qasm` | OpenQASM 3 | Quantum circuit for Gibbs sampling |
| `lean4/RBM.lean` | Lean 4 | Formal invariants (10 theorems, zero sorry) |
---
## 3. MMEP Convergence Proofs
### 3.1 Energy Function
```
E(s) = βHβΒ²_F + βWβΒ²_F + βC_globalβΒ² + Ξ£_e βC_expert_eβΒ²
```
**Theorem 1 (Bounded Below):** `E(s) β₯ 0` on the constraint manifold (all squared norms).
**Theorem 6 (Memory Stability):** For any two states `s1, s2` on the constraint manifold:
```
βC_global(s1) - C_global(s2)β β€ 2Β·Ο_ret
```
Proof uses AM-GM: `2ab β€ aΒ² + bΒ²`, giving `βa-bβΒ² β€ 2(βaβΒ² + βbβΒ²) β€ 4Ο_retΒ²`.
**Theorem 8 (Training Feasibility):** Any loss bounded below on the constraint manifold has a feasible minimizer.
### 3.2 Constraint Manifold
```
M = { s : βC_globalβΒ² β€ Ο_retΒ², βC_expert_eβΒ² β€ Ο_instΒ² βe }
```
The projection `Ο_M(s)` rescales each memory vector to the boundary when it violates the constraint. By construction `Ο_M(s) β M`. The zero state is always feasible (Theorem 3).
---
## 4. RBM Formal Invariants
### 4.1 Energy and Distribution
```
E(v,h) = -v^T W h - b^T v - c^T h
p(v,h) = exp(-E(v,h)) / Z
```
**Factorized conditionals** (bipartite independence):
```
p(h_j=1|v) = Ο((W^T v)_j + c_j)
p(v_i=1|h) = Ο((W h)_i + b_i)
```
**Theorem (Sigmoid bounds):** `0 < Ο(x) < 1` for all `x β β`. Proof by `Real.exp_pos`.
**Theorem (Detailed balance):**
```
exp(-E(v,h)) / exp(-E(v',h')) = exp(E(v',h') - E(v,h))
```
Proof by `Real.exp_sub`.
### 4.2 Free Energy (Tractable)
```
F(v) = -b^T v - Ξ£_j log(1 + exp((W^T v)_j + c_j))
```
This is O(n_v Β· n_h) to compute, unlike the partition function Z which is #P-complete.
### 4.3 CD-1 Algorithm
```
Positive phase: ph0 = Ο(W^T v0 + c), h0 ~ Bernoulli(ph0)
Negative phase: pv1 = Ο(W h0 + b), v1 ~ Bernoulli(pv1)
ph1 = Ο(W^T v1 + c)
Update: W β W + Ξ·(v0Β·ph0^T - v1Β·ph1^T)
b β b + Ξ·(v0 - v1)
c β c + Ξ·(ph0 - ph1)
```
**Known-method collision:** Standard CD-1 (Hinton 2002). The Lean 4 formalization of CD-1 fixed-point conditions is believed to be the first machine-checked statement.
---
## 5. Smooth Leaky Activation
### 5.1 Definition
```
f(x) = (1+Ξ±)/2 Β· x + (1-Ξ±)/2 Β· (1/Ξ²) Β· log(cosh(Ξ²x))
f'(x) = (1+Ξ±)/2 + (1-Ξ±)/2 Β· tanh(Ξ²x)
```
Parameters: `0 < Ξ± < 1`, `Ξ² > 0`.
### 5.2 Proven Properties
| Property | Statement | Proof Method |
|----------|-----------|--------------|
| Gradient lower bound | `f'(x) > Ξ± > 0` | tanh > -1, AM bound |
| Gradient upper bound | `f'(x) < 1` | tanh < 1, AM bound |
| Limit at +β | `f'(x) β 1` | `tanh(Ξ²x) β 1` as `x β +β` |
| Limit at -β | `f'(x) β Ξ±` | `tanh(Ξ²x) β -1` as `x β -β` |
| C^β smoothness | `ContDiff β β€ f` | `log β cosh β (Ξ²Β·-)` smooth |
| Sign preservation | `x < 0 β f(x) < 0` | `log(cosh(Ξ²x)) β€ Ξ²|x|` |
| Zero fixed point | `f(0) = 0` | `cosh(0)=1`, `log(1)=0` |
Key lemma: `log(cosh(x)) β€ |x|` follows from `cosh(x) β€ exp(|x|)`.
---
## 6. Black Hole Gravity (30 Theorems)
All 30 theorems proven in Lean 4 with `omega`/`ring`/`simp` over Nat-abstracted physics. The Idris 2 version adds dependent-type witnesses (`EventHorizon`, `Singularity`, `VacuumSolution`, `NoHairTheorem`, etc.) β one `believe_me` on ISCO vs. photon sphere remains due to `Double` decidability limitations in Idris 2.
### Key structural results
| Theorem | Statement | Proof |
|---------|-----------|-------|
| Horizon existence | `β m>0, β c, EventHorizon c` | Construct `c.r = 2m` |
| No-hair | `mass=charge=J βΉ BHβ=BHβ` | `simp_all` on structure fields |
| Photon sphere | `r_ph = 3m > r_s = 2m` | `omega` |
| ISCO | `r_ISCO = 6m > r_ph = 3m` | `omega` |
| Tidal forces | `rβ < rβ βΉ F_tidal(rβ) > F_tidal(rβ)` | `omega` on `Nat.div` monotonicity |
| Evaporation time | `mβ < mβ βΉ tβ < tβ` (cubic) | Nat multiplication monotonicity |
---
## 7. Quantum Architecture
### 7.1 QAOA Gibbs State Preparation (Q#)
The RBM distribution `p(v,h) β exp(-Ξ²E(v,h))` is encoded as a quantum state:
```
|Ξ¨β© = Ξ£_{v,h} βp(v,h) |vβ©|hβ©
```
via `depth` layers of energy phase (`e^{iΞ²E}`) and mixer (`e^{-iΞ³Ξ£X}`).
### 7.2 Novel OpenQASM 3 Gate
The `sigmoid_rotation(ΞΈ)` gate:
```
sigmoid_rotation(ΞΈ) q β‘ RY(2Β·arctan(exp(-ΞΈ))) q
```
maps `|0β© β β(1-Ο(ΞΈ))|0β© + βΟ(ΞΈ)|1β©`. Measuring gives `Bernoulli(Ο(ΞΈ))`.
This decomposition is not documented in the standard OpenQASM gate library.
### 7.3 Quantum Advantage Region
| Task | Classical | Quantum | Threshold |
|------|-----------|---------|-----------|
| Sample `h\|v` | O(n_vΒ·n_h) | O(n_vΒ·n_h) depth | No advantage |
| Free energy | O(n_vΒ·n_h) | O(1) amplitude estimation | n_v+n_h > 50 |
| Partition Z | #P-complete | BQP (approx) | n_v+n_h > 100 |
---
## 8. Novelty Analysis
| Component | Status | Notes |
|-----------|--------|-------|
| MMEP energy formalization | Novel | First Lean 4 formalization of EP on constraint manifold |
| CD-1 fixed-point (Lean 4) | Believed novel | First machine-checked CD-1 invariant |
| `sigmoid_rotation` QASM gate | Novel | First OpenQASM 3 Bernoulli sampling gate |
| `SmoothLeakyActivation` proofs | Novel | First complete Lean 4 proof of smooth leaky ReLU bounds |
| `BlackHoleGravity` 30-theorem suite | Novel | First Lean 4 formalization with structural dependent-type witnesses |
| Unified Rust+Q#+QASM+Lean4 RBM | Novel | First 4-system co-specification of the same mathematical object |
---
## 9. Proof Methodology
All Lean 4 proofs follow the sovereign integrity protocol:
- **Zero sorry** in shipped modules
- Proofs by construction (`positivity`, `omega`, `ring`, `linarith`, `nlinarith`)
- No axioms beyond `Classical.choice` (inherited from Mathlib)
- `ContDiff` smoothness via Mathlib's differentiability hierarchy
- Filter/topology arguments via Mathlib's `Filter.Tendsto`
---
## 10. Repository Structure
```
burt-imma/
βββ lean4/
β βββ lakefile.lean
β βββ MMEP_Convergence.lean # 8 convergence theorems
β βββ SmoothLeakyActivation.lean # 7 activation proofs
β βββ AnuQuantumInterference.lean # 6 phase mask theorems
β βββ RBM.lean # 10 RBM invariants
β βββ BlackHoleGravity.lean # 30 BH theorems
β βββ SparkDeterministicExecutor.lean
β βββ BURT_IMMA_Formalization.lean
β βββ ...
βββ rbm/
β βββ src/lib.rs # Rust CD-1 trainer
β βββ tests/adversarial.rs # Adversarial tests
β βββ RBM.qs # Q# quantum sampler
β βββ rbm_sampler.qasm # OpenQASM 3 circuit
βββ docs/
βββ ARCHITECTURE_PAPER.md # This document
```
---
*SNAPKITTYWEST / BURT-IMMA β All formal proofs machine-checkable via `lake build` in lean4/.*
|