Add local evidence artifacts and model-card evidence links

README.md

@@ -56,3 +56,16 @@ Use this checkpoint for coding assistance experiments, Python function generatio
 ## Reproducibility And Provenance
 
 The model was produced by merging a PEFT LoRA coding adapter into `Hcompany/Holo-3.1-4B` and saving the result as sharded `safetensors`. Companion evaluation and training provenance artifacts are available in the LoRA repository.
+
+<!-- evidence-files:start -->
+
+## Evidence files
+
+Run evidence for this release is stored in the repository under `evidence/`:
+
+- [`evidence/holo_4b_repair38_merge_cpu_out_v3_merge_summary.json`](./evidence/holo_4b_repair38_merge_cpu_out_v3_merge_summary.json)
+- [`evidence/holo_4b_repair38_merge_cpu_out_v3_holo_4b_repair38_adapter_release_summary.json`](./evidence/holo_4b_repair38_merge_cpu_out_v3_holo_4b_repair38_adapter_release_summary.json)
+
+These files are compact local/Kaggle run artifacts used to document training, evaluation, merge, or quantization evidence for this model family.
+
+<!-- evidence-files:end -->

evidence/README.md

@@ -0,0 +1,6 @@
+# Evidence files
+
+This folder contains local training/evaluation/merge/quantization evidence artifacts copied from the original run outputs.
+
+- `evidence/holo_4b_repair38_merge_cpu_out_v3_merge_summary.json`
+- `evidence/holo_4b_repair38_merge_cpu_out_v3_holo_4b_repair38_adapter_release_summary.json`

evidence/holo_4b_repair38_merge_cpu_out_v3_holo_4b_repair38_adapter_release_summary.json

@@ -0,0 +1,105 @@
+{
+  "run_slug": "holo-3-1-4b-repair38-v1",
+  "base_model_id": "Hcompany/Holo-3.1-4B",
+  "adapter_repo": "josephmayo/Holo-3.1-4B-Coding-Repair38-LoRA",
+  "method": "4-bit QLoRA SFT on curated local coding splits plus external coding instruction data; gated merge only",
+  "target": ">=38/80 pass count on held-out HumanEval+MBPP greedy probe after adapter repair",
+  "push_to_hf": true,
+  "push_even_if_gate_fail": false,
+  "seed": 42,
+  "stage": "done",
+  "errors": [],
+  "warnings": [],
+  "hf_token_secret_name": "hardcoded_fallback",
+  "hf_token_present": true,
+  "dataset_selection": {
+    "root": "/kaggle/input/datasets/josephayanda/curated-agent-coding-dataset-sft-v1",
+    "used": [
+      {
+        "file": "targeted_sft_2000.jsonl",
+        "available": 2000,
+        "selected": 2000,
+        "purpose": "targeted failure families"
+      },
+      {
+        "file": "eval_maxxing_3500.jsonl",
+        "available": 3500,
+        "selected": 3200,
+        "purpose": "hidden-test style coding"
+      },
+      {
+        "file": "coding_sft_5000.jsonl",
+        "available": 5000,
+        "selected": 3200,
+        "purpose": "broad language coding"
+      },
+      {
+        "file": "real_world_coding_3500.jsonl",
+        "available": 3500,
+        "selected": 1800,
+        "purpose": "production coding tasks"
+      },
+      {
+        "file": "heavy_real_world_agentic_5000.jsonl",
+        "available": 5000,
+        "selected": 120,
+        "purpose": "long repo-agent examples"
+      }
+    ],
+    "skipped_preference_pairs": [
+      "orpo_gold_1000.jsonl",
+      "reasoning_preference_1000.jsonl"
+    ],
+    "external": [
+      {
+        "dataset": "ise-uiuc/Magicoder-Evol-Instruct-110K",
+        "selected": 96
+      },
+      {
+        "dataset": "m-a-p/CodeFeedback-Filtered-Instruction",
+        "selected": 96
+      },
+      {
+        "dataset": "HuggingFaceH4/CodeAlpaca_20K",
+        "selected": 96
+      },
+      {
+        "dataset": "glaiveai/glaive-code-assistant-v3",
+        "selected": 96
+      }
+    ]
+  },
+  "train_rows_loaded": 10704,
+  "cuda_available": true,
+  "cuda_device_count": 2,
+  "devices": [
+    "Tesla T4",
+    "Tesla T4"
+  ],
+  "eval_task_count": 80,
+  "before_counts": {
+    "pass": 24,
+    "fail": 56
+  },
+  "before_eval_skipped_reused": true,
+  "lora_target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "repair_source_adapter": "josephmayo/Holo-3.1-4B-Coding-30pct-LoRA",
+  "after_counts": {
+    "pass": 31,
+    "fail": 49
+  },
+  "improvement_gate": {
+    "ran_eval": true,
+    "before_pass": 24,
+    "after_pass": 31,
+    "target_pass_for_repair38": 38,
+    "relative_improvement": 0.2917,
+    "passed": false
+  },
+  "push_skipped": "repair38 gate failed; set PUSH_EVEN_IF_GATE_FAIL=1 to push adapter anyway"
+}

evidence/holo_4b_repair38_merge_cpu_out_v3_merge_summary.json

@@ -0,0 +1,10 @@
+{
+  "stage": "error",
+  "base_model_id": "Hcompany/Holo-3.1-4B",
+  "adapter_repo": "josephmayo/Holo-3.1-4B-Coding-Repair38-LoRA",
+  "merged_repo": "josephmayo/Holo-3.1-4B-Coding-Repair38-Merged",
+  "model_name": "Holo-3.1-4B-Coding-Repair38",
+  "errors": [
+    "ImportError('Found an incompatible version of torchao. Found version 0.10.0, but only versions above 0.16.0 are supported')"
+  ]
+}