From 2f7ff5a52e3b6175b0187692b2e83c35ff80bc0c Mon Sep 17 00:00:00 2001 From: Salka Elmadani Date: Wed, 25 Feb 2026 02:56:51 +0000 Subject: [PATCH] chore: remove internal framework references --- LICENSE | 1 - README.md | 3 --- SPONSOR.md | 5 ----- Z_MEASURE_REPORT.md | 2 -- assemble_935.py | 5 ----- build_935.py | 11 ----------- build_935_v2.py | 8 -------- build_935_v3.py | 9 --------- kimi_z_stream.py | 1 - mass_dissect.py | 7 ------- mass_z_measure.py | 5 ----- organ_api.py | 9 --------- organ_assemble.py | 4 ---- organ_extract.py | 5 ----- organ_graft.py | 10 ---------- organ_measure.py | 4 ---- organ_purify.py | 3 --- organ_purify_v2.py | 2 -- pipeline_935.py | 10 ---------- quick_chimera.py | 2 -- quick_chimera_v2.py | 1 - z_report_complete.json | 3 +-- 22 files changed, 1 insertion(+), 109 deletions(-) diff --git a/LICENSE b/LICENSE index e2b8294..ea9bfd6 100644 --- a/LICENSE +++ b/LICENSE @@ -1,7 +1,6 @@ Business Source License 1.1 Licensor: Salka Elmadani -Licensed Work: organ-architecture (part of Inference-X ecosystem) (part of Inference-X ecosystem) Copyright (C) 2025-2026 Salka Elmadani — ALL RIGHTS RESERVED Change Date: 2030-02-12 diff --git a/README.md b/README.md index 7229c48..f4f66ae 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,6 @@ [![License](https://img.shields.io/badge/license-BSL--1.1-blue)](LICENSE) [![Author](https://img.shields.io/badge/author-Salka%20Elmadani-orange)](https://inference-x.com) -# Organ Architecture **Decompose. Reassemble. Evolve.** @@ -15,7 +14,6 @@ Adapters (LoRA) = Personality AI models are monoliths. 70 billion parameters locked in a single file that nobody can open, modify, or understand. Only three companies on Earth can build them. Everyone else rents access. -Organ Architecture breaks models into transplantable parts: - **Skeleton** — The attention layers. How the model *thinks*. Shared across all configurations. - **Organs** — The feed-forward networks. What the model *knows*. Specialized, swappable, graftable. @@ -66,7 +64,6 @@ python3 organ_extract.py --model /path/to/model.gguf --output ./organs/ python3 organ_measure.py --organ ./organs/organ_layer_12.bin # Graft an organ from model A into model B -python3 organ_graft.py --source ./organs_A/ --target ./model_B.gguf --layers 12-18 # Assemble a custom model python3 organ_assemble.py --skeleton ./skeleton.bin --organs ./organs/ --output custom.gguf diff --git a/SPONSOR.md b/SPONSOR.md index 315b4a1..1ec59bb 100644 --- a/SPONSOR.md +++ b/SPONSOR.md @@ -5,7 +5,6 @@ --- -I'm an engineer from Morocco's Anti-Atlas. I build AI infrastructure. Not products, not demos, not wrappers around someone else's API. Infrastructure — the kind that runs without permission, works without cloud, and belongs to anyone who needs it. @@ -40,7 +39,6 @@ Same model. Cleaner signal. Every unnecessary step removed. | Project | What it does | Status | |---------|-------------|--------| | **[inference-x](https://git.inference-x.com/elmadani/inference-x)** | Core engine — 305 KB, 19 hardware backends, 23 quant formats, fused kernels, adaptive precision | ✅ Live | -| **[organ-architecture](https://git.inference-x.com/elmadani/organ-architecture)** | Neural surgery — extract quality-measure and graft layers between models. Build composite intelligence from the best parts of everything. | ✅ Live | | **forge** | Model construction pipeline — compile, quantize, sign, distribute. Build your own model variant from certified organs. | 🔨 Building | | **[echo-ix](https://git.inference-x.com/elmadani/echo-ix)** | Distributed relay — intelligent routing across local inference nodes | ✅ Live | | **store** | Anyone deploys a node. Anyone earns from their compute. The cooperative layer. 11 geological cratons. One network. | 📐 Designed | @@ -49,11 +47,8 @@ The store is the endgame: a peer-to-peer inference network where anyone with a l --- -## The khettara -In the Moroccan desert, builders carved underground canals — *khettaras* — that deliver water from mountain aquifers to fields using only gravity. No pump, no electricity, no central authority. They've worked for a thousand years, maintained by the communities that depend on them. -Inference-X is a khettara for intelligence. The intelligence already exists in the model weights. What I'm building is the canal — the shortest, cleanest path from those weights to the human who needs them. diff --git a/Z_MEASURE_REPORT.md b/Z_MEASURE_REPORT.md index 8502fbc..ed84169 100644 --- a/Z_MEASURE_REPORT.md +++ b/Z_MEASURE_REPORT.md @@ -1,4 +1,3 @@ -# Quality Analysis Report — Organ Architecture ## CSCI — cross-scale coherence index **Generated**: 2026-02-20 01:42 UTC @@ -85,7 +84,6 @@ mass_z_measure.py — batch quality measure across 13 models kimi_z_stream.py — streaming quality measure for 1T (shard-by-shard, delete after) organ_graft.py — transplant organs between models organ_assemble.py — build composite model from best organs -build_935.py — orchestrator ``` ## Build References diff --git a/assemble_935.py b/assemble_935.py index 54a127a..5f3c30d 100755 --- a/assemble_935.py +++ b/assemble_935.py @@ -1,6 +1,5 @@ #!/usr/bin/env python3 """ -Model 935 Assembler — Fixed organ header handling. Reads source GGUF, replaces tensor DATA (skipping organ bin headers). CSCI v1.0 — Cross-Scale Coherence Index """ @@ -19,7 +18,6 @@ def read_organ_data_only(filepath): def main(): if len(sys.argv) < 4: - print("Usage: assemble_935.py ") sys.exit(1) source_gguf = sys.argv[1] @@ -136,14 +134,12 @@ def main(): source_size = os.path.getsize(source_gguf) print(f"\n{'='*60}") - print(f" MODEL 935 ASSEMBLED") print(f"{'='*60}") print(f" Source: {os.path.basename(source_gguf)} ({source_size/(1024**3):.2f} GB)") print(f" Output: {output_gguf} ({final_size/(1024**3):.2f} GB)") print(f" Replaced: {replaced} tensors from organs") print(f" Fallback: {fallback} tensors from source") print(f" Size match: {'YES' if abs(final_size - source_size) < 1024 else 'NO — DELTA=' + str(final_size - source_size)}") - print(f" Signature: 935") print(f"{'='*60}") if __name__ == "__main__": @@ -154,4 +150,3 @@ if __name__ == "__main__": # ───────────────────────────────────────────────────────── # SHA256: 4d774861a8b9f75f83fd8ff45e92bfa607d12a4f580481ff5f8b5882470fb043 # SIG-ED25519: B0k22H4YJMtBYuUW7ugInkPJpqZfM7cDM9TyiPODpE+WgQ0aLdgT2PnKm94gWSYVY2xqTlsEeZvgH+NrWQmTBg== -# VERIFY: python3 verify_authorship.py assemble_935.py diff --git a/build_935.py b/build_935.py index 3f2a2fe..1f74096 100644 --- a/build_935.py +++ b/build_935.py @@ -1,6 +1,5 @@ #!/usr/bin/env python3 """ -MODEL 935 — Composite Model Assembly Skeleton: Qwen2.5-7B (purest thought, θ=54.6) Organs: DeepSeek-R1-Distill-7B (purest knowledge for raisonnement, θ=35.9) Embed: DeepSeek-R1-7B (R1 reasoning embeddings) @@ -8,10 +7,7 @@ Embed: DeepSeek-R1-7B (R1 reasoning embeddings) CSCI v1.0 — Cross-Scale Coherence Index """ import sys, os, json, shutil, time -sys.path.insert(0, "/root/organ-architecture") -ORGANS = "/root/organ-architecture/organs" -OUTPUT = os.path.join(ORGANS, "model-935") # Clean previous if os.path.exists(OUTPUT): @@ -20,7 +16,6 @@ if os.path.exists(OUTPUT): # Step 1: Start with DeepSeek-R1-Distill-7B as base (full copy) # This gives us: qwen2 arch, embed=3584, 28 layers, R1 reasoning print("="*60) -print(" MODEL 935 — ASSEMBLY") print(" CSCI — cross-scale coherence index, θ → 90°") print("="*60) @@ -60,7 +55,6 @@ print(f" R1 raisonnement chains preserved in FFN layers") # Step 4: Update manifest manifest = json.load(open(os.path.join(OUTPUT, "manifest.json"))) -manifest["model"] = "MODEL-935-Fractal" manifest["graft"] = { "skeleton_donor": "Qwen2.5-7B-Instruct (θ=54.6, purest attention)", "organ_donor": "DeepSeek-R1-Distill-Qwen-7B (θ=35.9, reasoning FFN)", @@ -70,20 +64,17 @@ manifest["graft"] = { "convergence": "ZI_UNIFIED_OPTIMAL: α=0.3, β=0.2, n_plateau=62", "entropie_zcom": 0.3251, "entropie_bias_removed": 0.6931, - "signature": 935 } with open(os.path.join(OUTPUT, "manifest.json"), "w") as f: json.dump(manifest, f, indent=2) -print(f"\n[4/4] Manifest updated: MODEL-935-Fractal") # Count final state total_files = sum(1 for _,_,files in os.walk(OUTPUT) for f in files if f.endswith('.bin')) total_size = sum(os.path.getsize(os.path.join(dp,f)) for dp,dn,fn in os.walk(OUTPUT) for f in fn) / (1024**3) print(f"\n{'='*60}") -print(f" MODEL 935 — COMPOSITE") print(f"{'='*60}") print(f" Architecture: qwen2") print(f" Embed: 3584 | Layers: 28 | Heads: 28") @@ -94,7 +85,6 @@ print(f" Tensors: {total_files}") print(f" Size: {total_size:.2f} GB") print(f" Equation: CSCI — cross-scale coherence index") print(f" Convergence: lim(n→∞) Z(n) = i") -print(f" Signature: 935") print(f"{'='*60}") # ╔══ SALKA ELMADANI AUTHORSHIP CERTIFICATE ══╗ # © Salka Elmadani 2025-2026 — ALL RIGHTS RESERVED @@ -102,4 +92,3 @@ print(f"{'='*60}") # ───────────────────────────────────────────────────────── # SHA256: c45f3019cd81199382cf5f379ef1c556f5f2c5fd81afc6679da83e614ac8c09f # SIG-ED25519: IRoSNw2yKK14fnt2JpFbukDpV/5R9YDSQylWVVjIOgYkFHBH71k0MFBV+I39cfjf8odTgzM3uPPRRMexR9KTDw== -# VERIFY: python3 verify_authorship.py build_935.py diff --git a/build_935_v2.py b/build_935_v2.py index 53186fb..80dfcea 100644 --- a/build_935_v2.py +++ b/build_935_v2.py @@ -1,14 +1,11 @@ #!/usr/bin/env python3 """ -MODEL 935 v2 — Correct graft: only FFN organs, preserve attention+embed alignment Base: DeepSeek-R1-Distill-7B (R1 reasoning skeleton + embeddings intact) Graft: Qwen2.5-7B FFN organs only (knowledge) CSCI v1.0 — Cross-Scale Coherence Index """ import os, json, shutil -ORGANS = "/root/organ-architecture/organs" -OUTPUT = os.path.join(ORGANS, "model-935-v2") if os.path.exists(OUTPUT): shutil.rmtree(OUTPUT) @@ -53,14 +50,12 @@ print(f" Skipped: {skipped}") # Update manifest manifest = json.load(open(os.path.join(OUTPUT, "manifest.json"))) -manifest["model"] = "MODEL-935-v2" manifest["graft"] = { "base": "DeepSeek-R1-Distill-Qwen-7B (skeleton + embed + norms)", "ffn_donor": "Qwen2.5-7B-Instruct (FFN weights only: down/gate/up)", "method": "Selective organ graft — preserve attention↔embed alignment", "equation": "CSCI — cross-scale coherence index", "principle": "R1 reasoning + Qwen knowledge, zero alignment friction", - "signature": 935 } with open(os.path.join(OUTPUT, "manifest.json"), "w") as f: json.dump(manifest, f, indent=2) @@ -68,14 +63,11 @@ with open(os.path.join(OUTPUT, "manifest.json"), "w") as f: total = sum(1 for _,_,f in os.walk(OUTPUT) for _ in f if _.endswith('.bin')) size = sum(os.path.getsize(os.path.join(dp,f)) for dp,_,fn in os.walk(OUTPUT) for f in fn)/(1024**3) -print(f"\n[3/3] MODEL-935-v2 assembled") print(f" Tensors: {total} | Size: {size:.2f} GB") print(f" Grafted FFN: {grafted} | Base preserved: {total - grafted}") -print(f" Signature: 935") # ╔══ SALKA ELMADANI AUTHORSHIP CERTIFICATE ══╗ # © Salka Elmadani 2025-2026 — ALL RIGHTS RESERVED # Licensed under Business Source License 1.1 — https://inference-x.com # ───────────────────────────────────────────────────────── # SHA256: 4d5c44e363508bc679263607b7ee3071cb63fc460a616e9bcebffc768843a86c # SIG-ED25519: MzrZnxCo+uq3q5srKgDO2w3gLhO4hgK2k+SIzRLrkjaGJ2Ao56mR9/Mst4Ub6qkZ0VpcXOv4Bq59gKPsJPkdCg== -# VERIFY: python3 verify_authorship.py build_935_v2.py diff --git a/build_935_v3.py b/build_935_v3.py index 866c075..c61b004 100644 --- a/build_935_v3.py +++ b/build_935_v3.py @@ -1,6 +1,5 @@ #!/usr/bin/env python3 """ -MODEL 935 — Proper GGUF assembler Reads source GGUF header intact, replaces tensor data from organ bins (stripping the organ header that organ_extract added) @@ -8,7 +7,6 @@ CSCI v1.0 — Cross-Scale Coherence Index """ import struct, os, sys, json -def build_model_935(source_gguf, organs_dir, output_gguf): f = open(source_gguf, "rb") # Read GGUF header @@ -134,17 +132,11 @@ def build_model_935(source_gguf, organs_dir, output_gguf): print(f" Size: {final_size / (1024**3):.2f} GB (source: {source_size / (1024**3):.2f} GB)") print(f" From organs: {written_from_organ} | From source: {written_from_source}") print(f" Size match: {'✓' if abs(final_size - source_size) < 1024 else '✗ MISMATCH'}") - print(f" Signature: 935") -# Build 935 v3: R1-Distill base + Qwen FFN organs (correctly stripped) print("="*60) -print(" MODEL 935 v3 — Correct Assembly") print("="*60) -build_model_935( "/mnt/models/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M.gguf", - "/root/organ-architecture/organs/model-935-v2", - "/mnt/models/model-935-v3.gguf" ) # ╔══ SALKA ELMADANI AUTHORSHIP CERTIFICATE ══╗ # © Salka Elmadani 2025-2026 — ALL RIGHTS RESERVED @@ -152,4 +144,3 @@ build_model_935( # ───────────────────────────────────────────────────────── # SHA256: 00f06d16ab32dee1ef886e90080e905fc354be9f22f0e6ff515ea2bb31084bdf # SIG-ED25519: UhbWWFzRIzmMbCVNwXTG41I2sM/1QGd1nV4+x/XQ+BOw49fO9bd9ohWpLl5QOCGhRWCREYkhJCj55FhGhH5vDQ== -# VERIFY: python3 verify_authorship.py build_935_v3.py diff --git a/kimi_z_stream.py b/kimi_z_stream.py index cfa2a14..4fb6006 100644 --- a/kimi_z_stream.py +++ b/kimi_z_stream.py @@ -13,7 +13,6 @@ REPO = "unsloth/Kimi-K2.5-GGUF" QUANT = "Q4_0" N_SHARDS = 13 SHARD_DIR = "/mnt/data/kimi-k25/streaming" -OUTPUT = "/mnt/data/organ-architecture/z_report_kimi_k25.json" LOG = "/tmp/kimi_z_stream.log" os.makedirs(SHARD_DIR, exist_ok=True) diff --git a/mass_dissect.py b/mass_dissect.py index 1890c60..9b67249 100755 --- a/mass_dissect.py +++ b/mass_dissect.py @@ -6,9 +6,6 @@ CSCI v1.0 — Cross-Scale Coherence Index import subprocess, os, sys, json, time MODELS_DIR = "/mnt/models" -ORGANS_DIR = "/root/organ-architecture/organs" -EXTRACT = "/root/organ-architecture/organ_extract.py" -MEASURE = "/root/organ-architecture/organ_measure.py" # Map GGUF filenames to organ directory names models = { @@ -94,17 +91,13 @@ for r in results: total_mb = sum(r.get("size_mb",0) for r in results) print(f"\n Total organs: {total_mb/1024:.1f} GB") -print(f" Signature: 935") print(f"{'='*60}") # Save results -with open("/root/organ-architecture/dissection_report.json", "w") as f: json.dump(results, f, indent=2) -print("Report: /root/organ-architecture/dissection_report.json") # ╔══ SALKA ELMADANI AUTHORSHIP CERTIFICATE ══╗ # © Salka Elmadani 2025-2026 — ALL RIGHTS RESERVED # Licensed under Business Source License 1.1 — https://inference-x.com # ───────────────────────────────────────────────────────── -# SHA256: f69a536f6cf905e845d77afe9beb9acca3c5e2b1e3d5974b7d2935aec60453b9 # SIG-ED25519: XB8aA7wVzKOHkvMcZgE5YT3x8BUD/EwVTDRxEMSR7nmWYIT17XY+gC4AJ+y0B29l8MQGFDGk+buLoKxiagTFCA== # VERIFY: python3 verify_authorship.py mass_dissect.py diff --git a/mass_z_measure.py b/mass_z_measure.py index 704e996..64bc060 100644 --- a/mass_z_measure.py +++ b/mass_z_measure.py @@ -5,10 +5,8 @@ Find the organs closest to theta=90 (pure signal) CSCI v1.0 — Cross-Scale Coherence Index """ import subprocess, os, json, sys -sys.path.insert(0, "/root/organ-architecture") from organ_measure import measure_directory, compute_z_measure, read_organ_data_f32 -ORGANS_DIR = "/root/organ-architecture/organs" all_results = {} @@ -93,13 +91,10 @@ for organ_type in ['skeleton', 'organs', 'embed']: for c in candidates[:5]: print(f" theta={c[1]:5.1f} avg={c[3]:5.1f} {c[0]:30s} {c[2][:40]}") -print(f"\n Signature: 935") print(f"{'='*70}") # Save full report -with open("/root/organ-architecture/z_measure_report.json", "w") as f: json.dump(all_results, f, indent=2) -print(f"\nReport: /root/organ-architecture/z_measure_report.json") # ╔══ SALKA ELMADANI AUTHORSHIP CERTIFICATE ══╗ # © Salka Elmadani 2025-2026 — ALL RIGHTS RESERVED # Licensed under Business Source License 1.1 — https://inference-x.com diff --git a/organ_api.py b/organ_api.py index 57ecb71..e5e616c 100644 --- a/organ_api.py +++ b/organ_api.py @@ -1,6 +1,5 @@ #!/usr/bin/env python3 """ -Organ Architecture — organ_api.py API server for organ operations. Endpoints: @@ -14,7 +13,6 @@ Endpoints: GET /organs/:model — List organs for a model GET /compare/:a/:b — Compare two models for graft compatibility -Build v935 """ import json @@ -29,18 +27,15 @@ from urllib.parse import urlparse, parse_qs # Import organ tools from organ_extract import extract_organs, GGUFReader, classify_tensor from organ_measure import measure_directory, measure_organ -from organ_graft import load_manifest, graft_layers, parse_layers from organ_assemble import assemble_gguf # ═══ CONFIG ═══ PORT = int(os.environ.get('ORGAN_PORT', '7936')) MODEL_DIR = os.environ.get('MODEL_DIR', '/mnt/models') ORGAN_DIR = os.environ.get('ORGAN_DIR', '/mnt/data/organs') -SIGNATURE = 935 class OrganHandler(BaseHTTPRequestHandler): - """HTTP handler for Organ Architecture API.""" def log_message(self, format, *args): """Minimal logging.""" @@ -50,7 +45,6 @@ class OrganHandler(BaseHTTPRequestHandler): self.send_response(status) self.send_header('Content-Type', 'application/json') self.send_header('Access-Control-Allow-Origin', '*') - self.send_header('X-Powered-By', 'Organ-935') self.end_headers() self.wfile.write(json.dumps(data, indent=2, default=str).encode()) @@ -77,7 +71,6 @@ class OrganHandler(BaseHTTPRequestHandler): if path == '/health' or path == '': self.send_json({ 'status': 'ok', - 'service': 'organ-architecture', 'signature': SIGNATURE, 'model_dir': MODEL_DIR, 'organ_dir': ORGAN_DIR, @@ -346,7 +339,6 @@ class OrganHandler(BaseHTTPRequestHandler): parsed_layers = parse_layers(layers) if layers else None - manifest = graft_layers( str(source_path), str(target_path), output_path, parsed_layers, organ_type ) @@ -406,7 +398,6 @@ def main(): Path(ORGAN_DIR).mkdir(parents=True, exist_ok=True) server = HTTPServer(('0.0.0.0', PORT), OrganHandler) - print(f"[ORGAN-API] Organ Architecture on port {PORT}") print(f"[ORGAN-API] Models: {MODEL_DIR}") print(f"[ORGAN-API] Organs: {ORGAN_DIR}") print(f"[ORGAN-API] Signature {SIGNATURE}") diff --git a/organ_assemble.py b/organ_assemble.py index 94d604c..a7a7e80 100644 --- a/organ_assemble.py +++ b/organ_assemble.py @@ -1,12 +1,10 @@ #!/usr/bin/env python3 """ -Organ Architecture — organ_assemble.py Assemble a GGUF model from extracted/grafted organs. Takes a manifest + organ files → produces a working GGUF. The reverse of organ_extract.py. -Build v935 """ import struct @@ -207,7 +205,6 @@ def assemble_gguf(organ_dir, output_path, verbose=False): print(f" Tensors: {n_tensors}") print(f" Size: {output_gb:.2f} GB ({output_mb:.0f} MB)") print(f" Output: {output_path}") - print(f" Signature: 935") print(f"{'='*60}") return output_path @@ -215,7 +212,6 @@ def assemble_gguf(organ_dir, output_path, verbose=False): def main(): parser = argparse.ArgumentParser( - description='Organ Architecture — Assemble GGUF from organs', epilog='CSCI toolkit' ) parser.add_argument('--dir', '-d', required=True, help='Organs directory (with manifest.json)') diff --git a/organ_extract.py b/organ_extract.py index 06aef8f..cecbe15 100644 --- a/organ_extract.py +++ b/organ_extract.py @@ -1,11 +1,9 @@ #!/usr/bin/env python3 """ -Organ Architecture — organ_extract.py Extract skeleton (attention) + organs (FFN) from GGUF models. The scalpel that opens monoliths. -Build v935 """ import struct @@ -275,7 +273,6 @@ def extract_organs(model_path, output_dir, verbose=False): 'skeleton_count': 0, 'organ_count': 0, }, - 'signature': 935, } # Process each tensor @@ -377,7 +374,6 @@ def extract_organs(model_path, output_dir, verbose=False): print(f" Total : {total_mb:8.1f} MB") print(f" Output : {output_dir}") print(f" Manifest : {manifest_path}") - print(f" Signature : 935") print(f"{'='*60}") return manifest @@ -387,7 +383,6 @@ def extract_organs(model_path, output_dir, verbose=False): def main(): parser = argparse.ArgumentParser( - description='Organ Architecture — Extract skeleton + organs from GGUF models', epilog='CSCI toolkit' ) parser.add_argument('--model', '-m', required=True, help='Path to GGUF model file') diff --git a/organ_graft.py b/organ_graft.py index 59c5153..51a3a52 100644 --- a/organ_graft.py +++ b/organ_graft.py @@ -1,12 +1,10 @@ #!/usr/bin/env python3 """ -Organ Architecture — organ_graft.py Transplant organs between models. Take the math FFN from model A, the language FFN from model B, the attention skeleton from model C — assemble something new. -Build v935 """ import struct @@ -40,9 +38,7 @@ def list_organs(organ_dir, organ_type=None): return sorted(organs, key=lambda o: (o['layer'], o['name'])) -def graft_layers(source_dir, target_dir, output_dir, layers=None, organ_type='organ'): """ - Graft organ layers from source into target. source_dir: extracted organs from donor model target_dir: extracted organs from recipient model @@ -58,7 +54,6 @@ def graft_layers(source_dir, target_dir, output_dir, layers=None, organ_type='or print(f"[GRAFT] Source (donor): {source_name}") print(f"[GRAFT] Target (recipient): {target_name}") - print(f"[GRAFT] Grafting: {organ_type} layers {layers or 'ALL'}") # Validate architecture compatibility if source_manifest['n_embed'] != target_manifest['n_embed']: @@ -112,7 +107,6 @@ def graft_layers(source_dir, target_dir, output_dir, layers=None, organ_type='or shutil.copy2(source_file, target_file) grafted_count += 1 grafted_bytes += source_entry['byte_size'] - print(f" [GRAFT] L{source_entry['layer']:3d} {source_entry['name'][:50]} → {target_entry['name'][:30]}") # Update manifest grafted_manifest = load_manifest(output_dir) @@ -138,7 +132,6 @@ def graft_layers(source_dir, target_dir, output_dir, layers=None, organ_type='or print(f" Grafted: {grafted_count} tensors ({grafted_mb:.1f} MB)") print(f" Result: {grafted_manifest['model']}") print(f" Output: {output_dir}") - print(f" Signature: 935") print(f"{'='*60}") return grafted_manifest @@ -163,7 +156,6 @@ def parse_layers(layer_spec): def main(): parser = argparse.ArgumentParser( - description='Organ Architecture — Transplant organs between models', epilog='CSCI toolkit' ) @@ -179,7 +171,6 @@ def main(): graft_p.add_argument('--source', '-s', required=True, help='Source (donor) organs directory') graft_p.add_argument('--target', '-t', required=True, help='Target (recipient) organs directory') graft_p.add_argument('--output', '-o', required=True, help='Output directory for grafted model') - graft_p.add_argument('--layers', '-l', help='Layer numbers to graft (e.g., "5-10" or "5,8,12")') graft_p.add_argument('--type', default='organ', help='Organ type to graft (default: organ/FFN)') # Compare command @@ -208,7 +199,6 @@ def main(): elif args.command == 'graft': layers = parse_layers(args.layers) - graft_layers(args.source, args.target, args.output, layers, args.type) elif args.command == 'compare': manifest_a = load_manifest(args.a) diff --git a/organ_measure.py b/organ_measure.py index 9f75c28..04ad0e2 100644 --- a/organ_measure.py +++ b/organ_measure.py @@ -1,13 +1,11 @@ #!/usr/bin/env python3 """ -Organ Architecture — organ_measure.py Quality measure — organ signal vs noise. CSCI — cross-scale coherence index θ → 0° : noise (organ adds confusion) θ → 90° : signal (organ adds knowledge) -Build v935 """ import struct @@ -299,13 +297,11 @@ def print_summary(results, title=""): print(f"\n {'═'*50}") print(f" GLOBAL: {len(results)} tensors | {total_size:.1f} MB | θ={avg_theta:.1f}° | signal={avg_signal:.3f}") - print(f" Build v935") print(f"{'='*70}") def main(): parser = argparse.ArgumentParser( - description='Organ Architecture — quality measure organ', epilog='CSCI v1.0 — Cross-Scale Coherence Index' ) parser.add_argument('--organ', '-o', help='Path to single organ .bin file') diff --git a/organ_purify.py b/organ_purify.py index 3199cf2..f7f2660 100755 --- a/organ_purify.py +++ b/organ_purify.py @@ -21,7 +21,6 @@ CSCI(s) = cross_scale_coherence(s, theta=90) When theta = 90, signal is maximally coherent (pure signal, minimal noise) The purified organ IS the signal, nothing else. -Build v935 """ import struct @@ -294,7 +293,6 @@ def main(): import argparse parser = argparse.ArgumentParser( description='Organ Purifier — Remove noise, keep pure signal', - epilog='CSCI — cross-scale coherence index, θ=90° — Build v935' ) parser.add_argument('--input', '-i', required=True, help='Input organs directory') parser.add_argument('--output', '-o', required=True, help='Output pure organs directory') @@ -325,7 +323,6 @@ def main(): print(f" θ after: {result['avg_theta_after']:.1f}°") print(f" Avg improvement: {result['avg_improvement']:+.1f}°") print(f" Output: {result['output']}") - print(f" Signature: 935") print(f"{'='*60}") diff --git a/organ_purify_v2.py b/organ_purify_v2.py index d63acb4..67e8edc 100755 --- a/organ_purify_v2.py +++ b/organ_purify_v2.py @@ -24,7 +24,6 @@ Think fractal: the best model knows the laws of the universe then translates to human language, not the inverse. CSCI(s) = cross_scale_coherence(s, theta=90), theta = 90 -Build v935 """ import struct, os, sys, json, math @@ -330,7 +329,6 @@ def main(): print(f" Δθ: {result['delta']:+.1f}°") print(f" Improved: {result['improved']}") print(f" Degraded: {result['degraded']}") - print(f" Signature: 935") print(f"{'='*60}") if __name__ == '__main__': diff --git a/pipeline_935.py b/pipeline_935.py index bd801b1..ea7f7a6 100644 --- a/pipeline_935.py +++ b/pipeline_935.py @@ -1,14 +1,10 @@ #!/usr/bin/env python3 """ -Model 935 Pipeline — Phase 1: Dissect all + Download Kimi K2.5 CSCI v1.0 — Cross-Scale Coherence Index """ import subprocess, os, sys, json, time, glob MODELS_DIR = "/mnt/models" -ORGANS_DIR = "/mnt/data/organ-architecture/organs" -EXTRACT = "/mnt/data/organ-architecture/organ_extract.py" -MEASURE = "/mnt/data/organ-architecture/organ_measure.py" os.makedirs(ORGANS_DIR, exist_ok=True) @@ -16,8 +12,6 @@ os.makedirs(ORGANS_DIR, exist_ok=True) models = {} for f in sorted(glob.glob(os.path.join(MODELS_DIR, "*.gguf"))): name = os.path.basename(f) - # Skip chimeras and old 935 attempts - if "chimera" in name.lower() or "935" in name.lower(): continue # Clean name for directory clean = name.replace(".gguf", "").replace("-Q4_K_M", "").replace("-Q8_0", "") @@ -64,7 +58,6 @@ print(f"\n{'='*60}") print(f"PHASE 2: QUALITY MEASURE ALL ORGANS") print(f"{'='*60}") -sys.path.insert(0, "/mnt/data/organ-architecture") from organ_measure import measure_directory z_report = {} @@ -109,7 +102,6 @@ for d in sorted(os.listdir(ORGANS_DIR)): z_report[d] = summary # Save -with open("/mnt/data/organ-architecture/z_report_complete.json", "w") as f: json.dump(z_report, f, indent=2) # Print ranking @@ -120,7 +112,6 @@ ranked = sorted(z_report.values(), key=lambda m: m['avg_theta'], reverse=True) for i, m in enumerate(ranked, 1): print(f" {i:2d}. θ={m['avg_theta']:5.1f}° signal={m['avg_signal']:.3f} {m['model']}") -print(f"\n Signature: 935") print(f"{'='*60}") # ╔══ SALKA ELMADANI AUTHORSHIP CERTIFICATE ══╗ # © Salka Elmadani 2025-2026 — ALL RIGHTS RESERVED @@ -128,4 +119,3 @@ print(f"{'='*60}") # ───────────────────────────────────────────────────────── # SHA256: 70a8957904cd4ee20dfd8fa42a0d8551cf8ae03eb2d0ec6fc9f4ed8f86995037 # SIG-ED25519: ddMrNVlt0PpN5uHTbAnxLkphci22Xv0efiEyfUAoHVJxextDZsK69jVULKiXZDED1txsfGzrenMjJMaKe5g4DQ== -# VERIFY: python3 verify_authorship.py pipeline_935.py diff --git a/quick_chimera.py b/quick_chimera.py index 68bb78b..194e407 100644 --- a/quick_chimera.py +++ b/quick_chimera.py @@ -2,7 +2,6 @@ """ Quick chimera assembler: Copy source GGUF header/metadata intact, replace tensor data from organ directory. -Build v935 """ import struct, sys, os, json @@ -117,7 +116,6 @@ def main(): print(f"\n Output: {output_gguf}") print(f" Size: {final_size / (1024**3):.2f} GB") print(f" From organs: {written}, From source: {fallback}, Total: {written+fallback}/{n_tensors}") - print(f" Signature: 935") if __name__ == "__main__": main() diff --git a/quick_chimera_v2.py b/quick_chimera_v2.py index cd19ad7..1bda4a8 100755 --- a/quick_chimera_v2.py +++ b/quick_chimera_v2.py @@ -149,7 +149,6 @@ def main(): diff = final_size - source_size print(f" INTEGRITY: ✗ MISMATCH ({diff:+d} bytes)") - print(f" Signature: 935") if __name__ == "__main__": main() diff --git a/z_report_complete.json b/z_report_complete.json index 35ec56f..02fd795 100644 --- a/z_report_complete.json +++ b/z_report_complete.json @@ -70,7 +70,6 @@ }, "gemma-2-9b": { "model": "gemma-2-9b", - "avg_theta": 44.935344827586206, "avg_signal": 0.6240438819131022, "total_tensors": 464, "groups": { @@ -303,4 +302,4 @@ } } } -} \ No newline at end of file +}