Darwin V6 evolved model

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+parent_comparison.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+base_model:
+  - google/gemma-4-31B-it
+  - TeichAI/gemma-4-31B-it-Claude-Opus-Distill
+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-4-31B-it`
+- Mother: `TeichAI/gemma-4-31B-it-Claude-Opus-Distill`
+
+## Evolution Result
+- Benchmark score: 0.8289
+- 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: 0.5147
+  attn_ratio: 0.3169
+  ffn_ratio: 0.9316
+  embed_ratio: 0.7748
+  density_a: 0.8997
+  density_b: 0.9539
+  block_0_ratio: 0.6628
+  block_1_ratio: 0.6431
+  block_2_ratio: 0.5146
+  block_3_ratio: 0.5971
+  block_4_ratio: 0.6339
+  block_5_ratio: 0.8583
+  mri_trust: 0.3631
+  merge_method_weight: 0.6897
+```
+
+## 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

@@ -0,0 +1,73 @@
+{
+  "version": "darwin_v6",
+  "model_a": "google/gemma-4-31B-it",
+  "model_b": "TeichAI/gemma-4-31B-it-Claude-Opus-Distill",
+  "scan_time_a": 118.4402232170105,
+  "scan_time_b": 125.55140042304993,
+  "prescription": {
+    "total_tensors": 1188,
+    "avg_ratio_b": NaN,
+    "avg_attn_ratio": 0.4985023615613508,
+    "avg_ffn_ratio": 0.4990324963583231,
+    "avg_embed_ratio": 0.4999999999999488,
+    "transplant_a_count": 0,
+    "transplant_b_count": 0,
+    "blended_count": 1128
+  },
+  "recommended_genome": {
+    "global_ratio": NaN,
+    "attn_ratio": 0.4985023615613508,
+    "ffn_ratio": 0.4990324963583231,
+    "embed_ratio": 0.4999999999999488,
+    "block_ratios": [
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN,
+      NaN
+    ],
+    "mri_trust": 0.7
+  },
+  "evolution": {
+    "best_score": 0.8288780517172338,
+    "best_genome": [
+      0.514723714530154,
+      0.3168629847803735,
+      0.9316092091233521,
+      0.7747708240606758,
+      0.8997419154342126,
+      0.9538993117681633,
+      0.6628472550079788,
+      0.6431131855883261,
+      0.5145859145035576,
+      0.5970943838526779,
+      0.6338921203849466,
+      0.8583410687794345,
+      0.36305176160986585,
+      0.6897175949221458,
+      0.42794321435885035,
+      0.7231973253510958,
+      0.86066657688075,
+      0.6875085428037381
+    ],
+    "elapsed_sec": 7823.718402862549,
+    "merge_report": {
+      "total": 1188,
+      "transplant_a": 0,
+      "transplant_b": 0,
+      "blended": 1188,
+      "method": "slerp",
+      "genome_hash": "b3f80f90"
+    }
+  },
+  "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_e9840574'. Use `repo_type` argument if needed.",
+    "issue_count": 0
+  }
+}