Ollaya package for Mapika/decider-4b

4b/calibration.json

@@ -0,0 +1,9 @@
+{
+  "temperature": [
+    1.11,
+    1.0,
+    1.56
+  ],
+  "temperature_by_options": {},
+  "source": "decider_config.json temperature_by_type (choice, noul; fitted upstream by NLL per answer type); score is 1.0 because the isolated-row temperature is applied inside the score option logits"
+}

4b/decision.json

@@ -0,0 +1,601 @@
+{
+  "engine": "onnx",
+  "family": "decider",
+  "layout": "decider-slots-v1",
+  "upstream": {
+    "repo": "Mapika/decider-4b",
+    "revision": "eb5fbdfc9448473ec25e399882912863afbdb70e",
+    "version": "4b-v2.1",
+    "base": "Qwen/Qwen3.5-4B-Base",
+    "code": "decider/ in the model repo (inference subset of github.com/Mapika/decider)"
+  },
+  "contract": {
+    "inputs": {
+      "input_ids": {
+        "dtype": "int64",
+        "shape": [
+          "rows",
+          "seq"
+        ],
+        "note": "one row per scoring row; seq a multiple of 64; right-pad with any id (pad_id)"
+      },
+      "slot_pos": {
+        "dtype": "int64",
+        "shape": [
+          "rows"
+        ],
+        "note": "position of the row's answer-slot token"
+      }
+    },
+    "outputs": {
+      "label_logits": {
+        "dtype": "float32",
+        "shape": [
+          "rows",
+          255
+        ],
+        "note": "logits of labels[j] as the next token after the slot; use the first k"
+      }
+    },
+    "seq_multiple": 64,
+    "positions": "0..seq-1, implicit",
+    "attention": "causal; no mask input (right padding cannot reach earlier positions)"
+  },
+  "max_ctx_tokens": 32768,
+  "max_options": 255,
+  "min_options": 2,
+  "max_levels": 10,
+  "isolated_levels": true,
+  "isolated_row_temperature": 1.287,
+  "neutralize_none": false,
+  "independent_rows": true,
+  "index_arrays_min_len": 8,
+  "special_tokens": {
+    "pad": 248044,
+    "bos": null,
+    "add_special_tokens": false
+  },
+  "labels": {
+    "narrow": 10,
+    "strings": [
+      "A",
+      "B",
+      "C",
+      "D",
+      "E",
+      "F",
+      "G",
+      "H",
+      "I",
+      "J",
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+      "L",
+      "M",
+      "N",
+      "O",
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+  "templates": {
+    "context": "Context:\n{state}",
+    "head": "\n\nQuestion: {question}\nOptions:",
+    "narrow_option": "\n({label}) {option}",
+    "wide_option": "enc(\"\\n(\") + [label_id] + enc(\") {option}\")",
+    "tail": "\nAnswer: (",
+    "isolated_question": "{q}\nProposed answer: {level}\nDoes the proposed answer fit?",
+    "choice_option": "{name} | {name}: {description}",
+    "noul_options": [
+      "no | no: {false}",
+      "yes | yes: {true}"
+    ],
+    "score_level_strip": "^\\s*-?\\d+\\s*:\\s*"
+  },
+  "option_logits": {
+    "choice": "label_logits[row, :k]",
+    "noul": "label_logits[row, :2]  (0 = no = false, 1 = yes = true)",
+    "score": "log_sigmoid((label_logits[row_j, 1] - label_logits[row_j, 0]) / isolated_row_temperature), one row per level"
+  },
+  "opset": 20,
+  "precision": "fp32 compute; weights BF16 from the checkpoint, widened by Cast (at load, or per forward pass with weights_in_memory bf16)",
+  "weights_in_memory": "bf16"
+}

4b/model-fp32.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:403657f8e9ff2e7f191397b7e4ca42aa378e80409107592cb124bb24f506720a
+size 11033112

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 base_model:
+- Mapika/decider-4b
 - Mapika/decider-2b
 - Mapika/decider-0.8b
 library_name: onnx
@@ -14,7 +15,7 @@ pipeline_tag: text-classification
 
 # decider for Ollaya
 
-[Ollaya](https://github.com/ollaya-dev/ollaya) package of **[Mapika/decider-2b](https://huggingface.co/Mapika/decider-2b)** and **[Mapika/decider-0.8b](https://huggingface.co/Mapika/decider-0.8b)** by Mapika.
+[Ollaya](https://github.com/ollaya-dev/ollaya) package of **[Mapika/decider-4b](https://huggingface.co/Mapika/decider-4b)** and **[Mapika/decider-2b](https://huggingface.co/Mapika/decider-2b)** and **[Mapika/decider-0.8b](https://huggingface.co/Mapika/decider-0.8b)** by Mapika.
 Ollaya runs open decision models locally, the way Ollama runs LLMs: typed questions in,
 calibrated answers out, behind a TypeSafe-compatible API.
 
@@ -25,12 +26,13 @@ ollaya run decider
 ## What is in this repository
 
 This repository holds only the files Ollaya derives, with no weights. Each graph is an ONNX export of the
-original model whose weights **reference the author's own `model.safetensors` by byte offset**,
-so `ollaya pull` downloads the weights from the upstream repository, unmodified and pinned to a
+original model whose weights **reference the authors' own weight files by byte offset**,
+so `ollaya pull` downloads the weights from the upstream repositories, unmodified and pinned to a
 commit, and verifies their sha256.
 
 | Tag | Upstream | Files |
 |---|---|---|
+| `decider:4b` | [Mapika/decider-4b@eb5fbdf](https://huggingface.co/Mapika/decider-4b/tree/eb5fbdfc9448473ec25e399882912863afbdb70e) | `4b/model-fp32.onnx`, `4b/decision.json`, `4b/calibration.json` |
 | `decider:2b` | [Mapika/decider-2b@9839cc9](https://huggingface.co/Mapika/decider-2b/tree/9839cc9d908be16c5988c0d041034b5fdf82c7a2) | `2b/model-fp32.onnx`, `2b/decision.json`, `2b/calibration.json` |
 | `decider:0.8b` | [Mapika/decider-0.8b@a0a01d6](https://huggingface.co/Mapika/decider-0.8b/tree/a0a01d6f8135298f400a8c856b355793012ae971) | `0.8b/model-fp32.onnx`, `0.8b/decision.json`, `0.8b/calibration.json` |