Darwin V6 evolved model

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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+parent_comparison.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+base_model:
+  - google/gemma-4-E4B-it
+  - arsovskidev/Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled
+tags:
+  - darwin-v6
+  - evolutionary-merge
+  - mri-guided
+  - dare_ties
+---
+
+# Darwin V6 Evolved Model
+
+Created by Darwin V6 diagnostic-guided evolutionary merge engine.
+
+## Parent Models
+- Father: `google/gemma-4-E4B-it`
+- Mother: `arsovskidev/Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled`
+
+## Evolution Result
+- Benchmark score: 0.8292
+- Merge method: dare_ties
+- Merge hash: 
+
+## Merge Statistics
+- Total tensors merged: 0
+- Transplant A (Father preserved): 0
+- Transplant B (Mother preserved): 0
+- Blended: 0
+
+## Optimal Genome
+```
+  global_ratio: 0.4989
+  attn_ratio: 0.1766
+  ffn_ratio: 0.9021
+  embed_ratio: 0.6122
+  density_a: 0.9951
+  density_b: 0.9617
+  block_0_ratio: 0.5740
+  block_1_ratio: 0.5811
+  block_2_ratio: 0.5736
+  block_3_ratio: 0.4697
+  block_4_ratio: 0.4930
+  block_5_ratio: 0.8418
+  mri_trust: 0.4907
+  merge_method_weight: 0.3623
+```
+
+## Health Check
+Not performed
+
+## Method
+Darwin V6 implements DARE-TIES merge directly via PyTorch tensor operations.
+Per-tensor ratios are determined by MRI diagnostic (static tensor analysis + 
+probe-based functional importance) combined with evolutionary genome search.
+
+Formula: final_ratio = mri_ratio * mri_trust + genome_ratio * (1 - mri_trust)
+
+DARE-TIES algorithm: Yadav et al., 2023 (re-implemented, not library-dependent)
+
+Built by VIDRAFT. Apache 2.0.

darwin_v6_report.json

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+{
+  "version": "darwin_v6",
+  "model_a": "google/gemma-4-E4B-it",
+  "model_b": "arsovskidev/Gemma-4-E4B-Claude-4.6-Opus-Reasoning-Distilled",
+  "scan_time_a": 42.475749492645264,
+  "scan_time_b": 167.82452273368835,
+  "prescription": {
+    "total_tensors": 2130,
+    "avg_ratio_b": NaN,
+    "avg_attn_ratio": NaN,
+    "avg_ffn_ratio": NaN,
+    "avg_embed_ratio": 0.4999999999999489,
+    "transplant_a_count": 0,
+    "transplant_b_count": 0,
+    "blended_count": 1160
+  },
+  "recommended_genome": {
+    "global_ratio": NaN,
+    "attn_ratio": NaN,
+    "ffn_ratio": NaN,
+    "embed_ratio": 0.4999999999999489,
+    "block_ratios": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "mri_trust": 0.7
+  },
+  "evolution": {
+    "best_score": 0.829201223135563,
+    "best_genome": [
+      0.4989350370880262,
+      0.1765596987144778,
+      0.9021353731189872,
+      0.6121816711168857,
+      0.9950687155130845,
+      0.9616749716399485,
+      0.5740460369734743,
+      0.5810983895063875,
+      0.573601237329962,
+      0.4697086657809396,
+      0.4930005152703568,
+      0.8418002526417858,
+      0.49071281679766654,
+      0.36230713269451437,
+      0.852050028439731,
+      0.9518639342120779
+    ],
+    "elapsed_sec": 2612.163347005844,
+    "merge_report": {
+      "total": 0,
+      "transplant_a": 0,
+      "transplant_b": 0,
+      "blended": 0,
+      "method": "slerp",
+      "genome_hash": "d33cb3bd"
+    }
+  },
+  "health": {
+    "status": "healthy",
+    "summary": "failed: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/data/ray_temp/ginipick/darwin_merge_cache/merged_233e0e73'. Use `repo_type` argument if needed.",
+    "issue_count": 0
+  }
+}