Add v3 ONNX builds (v0.1.0-preview)

.gitattributes

@@ -33,3 +33,5 @@ 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
+cpu-int8/model.onnx.data filter=lfs diff=lfs merge=lfs -text
+dml-fp16/model.onnx.data filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,202 @@
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NOTICE.md

@@ -0,0 +1,17 @@
+# NOTICE
+
+KapiCoder-Mongo-Small-ONNX (version v3, tag `v0.1.0-preview`) is a derivative work of `Qwen/Qwen2.5-Coder-1.5B` (revision `df3ce67c0e24480f20468b6ef2894622d69eb73b`),
+licensed under the Apache License, Version 2.0 (see `LICENSE`).
+
+**Modifications:** fine-tuning for MongoDB fill-in-the-middle autocomplete in the `editor-context-v1` format (see the safetensors repository `esilva/KapiCoder-Mongo-Small` for the data and the method),
+export to ONNX and, where the folder name says so, quantisation, with onnxruntime-genai 0.15.2.
+
+This model is not a product of Alibaba Cloud or the Qwen team and is not endorsed by them. "Qwen" is a name of its owners.
+The teacher used to produce part of the training labels and the training data are not part of this repository.
+
+---
+
+# AVISO (pt-BR)
+
+KapiCoder-Mongo-Small-ONNX (versão v3) é um trabalho derivado e **modificado** de `Qwen/Qwen2.5-Coder-1.5B` (revisão `df3ce67c0e24480f20468b6ef2894622d69eb73b`), licenciado sob a Apache License 2.0 (veja `LICENSE`).
+Modificações: ajuste fino para autocomplete FIM de MongoDB, exportação para ONNX e, quando o nome da pasta indica, quantização. Não é um produto da Alibaba Cloud nem da equipe Qwen e não tem endosso deles.

README.md

@@ -0,0 +1,65 @@
+---
+license: apache-2.0
+base_model: esilva/KapiCoder-Mongo-Small
+base_model_relation: quantized
+pipeline_tag: text-generation
+language:
+- en
+- pt
+tags:
+- onnx
+- onnxruntime-genai
+- mongodb
+- code
+- fim
+- autocomplete
+- qwen2
+- synthetic-data
+---
+
+# KapiCoder-Mongo-Small-ONNX (1.5B)
+
+> **Status: PREVIEW / experimental, public preview, not qualified.** ONNX builds of [`esilva/KapiCoder-Mongo-Small`](https://huggingface.co/esilva/KapiCoder-Mongo-Small) (version v3, tag `v0.1.0-preview`)
+> for `onnxruntime-genai`, made for the *Kapibara Studio* editor. Read the model card of the safetensors repository first: the model, its limits and its evaluation are described there.
+> **This repository has no evaluation of its own**: the numbers in the main card were measured on the bf16 safetensors weights, not on these builds.
+
+## What is here
+
+One self-contained folder per variant (each can be downloaded and used on its own):
+
+| Folder | Build |
+|---|---|
+| `cpu-int8/` | INT8, CPU (onnxruntime-genai, `cpu` provider) |
+| `dml-fp16/` | FP16, GPU through DirectML |
+
+INT4 builds are not offered at this size: INT4 builds of the previous version lost accuracy against the bf16 weights.
+Each folder holds `model.onnx` (with `model.onnx.data` when the weights are external), `genai_config.json`, the tokenizer files, `kapibarastudio-model.json`, `kapicoder_manifest.json` (SHA-256 of every file) and `export_manifest.json` (tool, version, options; local paths were removed). Builds were produced with `onnxruntime-genai` 0.15.2 (`model.type=qwen2`) from the safetensors weights of the main repository.
+
+## Notes before using
+
+- **The `kapi` metadata serves the Kapibara Studio application.** `kapibarastudio-model.json` (schema `kapilab-kapi-model-v1`) and `kapicoder_manifest.json` (schema `kapilab-kapicoder-manifest-v1`) are read by that editor to load and verify a model; other applications can ignore them.
+- **EOS integration requirement (GenAI 0.15.2):** EOS may finish generation without appending a token. The corrected IDE consumes a token only when `GetSequence(0)` grows after `GenerateNextToken`; this prevents repeating the preceding token and preserves a valid last token. Checking `IsDone()` alone after generating can discard a valid token. Python references use `get_next_tokens()`. Use the corrected IDE runtime; these are the standard exports, without alternate EOS packages.
+- **Quantised and converted builds can differ from the bf16 weights**, in accuracy and in the text they generate. Measure on your own prompts before relying on one. Latency depends on the host and was not measured for this card.
+- The prompt format is the `editor-context-v1` header described in the main model card. The model only suggests text and never executes anything; validate field names before running a suggestion.
+
+## License, modification notice and attribution
+
+- License: **Apache License 2.0** (see `LICENSE`).
+- **Modification notice:** derived from `Qwen/Qwen2.5-Coder-1.5B` (revision `df3ce67c0e24480f20468b6ef2894622d69eb73b`) by fine-tuning for MongoDB fill-in-the-middle autocomplete (see the main repository) and converted to ONNX (and, where the folder name says so, quantised). Not a product of Alibaba Cloud or the Qwen team and not endorsed by them. See `NOTICE.md`.
+- Attribution: base model **Qwen2.5-Coder** by the Qwen team (Hui et al., arXiv:2409.12186), Apache-2.0. Replay and data attribution are in the main repository (`REPLAY_ATTRIBUTION.md`).
+
+---
+
+## Resumo em português (pt-BR)
+
+**Status: PREVIEW / experimental, preview público, não qualificado.** Builds ONNX do `esilva/KapiCoder-Mongo-Small` (versão v3) para o `onnxruntime-genai`, feitos para o editor Kapibara Studio.
+Este repositório não tem avaliação própria: os números do card principal vêm dos pesos safetensors bf16. Pastas autocontidas por variante: `cpu-int8/`, `dml-fp16/`.
+Os arquivos `kapibarastudio-model.json` e `kapicoder_manifest.json` (metadado `kapi`) servem ao Kapibara Studio; outros usos podem ignorá-los. A IDE corrigida consome somente tokens efetivamente anexados à sequência, evitando duplicação no EOS do GenAI 0.15.2 sem perder um último token válido. Usar apenas `IsDone()` após gerar não basta. Os pacotes permanecem os exports padrão.
+Licença Apache-2.0 com aviso de modificação (derivado do Qwen2.5-Coder-1.5B, sem endosso da equipe Qwen).
+
+
+## Installation in the IDE
+
+The remote catalog uses this dedicated ONNX repository and downloads one complete variant folder, pinned to a Hub commit and verified by file hashes. Nano `cpu-int4` is the default; Small `cpu-int8` is an optional CPU alternative. Keep `editor-context-v1` and greedy autocomplete (32 output tokens, recommended context 2048). Prefix cache remains disabled pending latency and memory qualification. DirectML folders are experimental: successful packaging does not establish adapter selection or GPU performance.
+
+For an offline preview, select the desired complete variant folder through the local ONNX model directory setting. Do not select the Safetensors root or mix files from different variants. Public download requires publication of this staged repository; a local staging folder is not a published release.

cpu-int8/LICENSE

@@ -0,0 +1,202 @@
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cpu-int8/NOTICE.md

@@ -0,0 +1,9 @@
+# NOTICE
+
+KapiCoder-Mongo-Small ONNX `int8` (3.0.0-preview.1) e um trabalho derivado e **modificado** de `Qwen/Qwen2.5-Coder-1.5B` (revisao `df3ce67c0e24480f20468b6ef2894622d69eb73b`), licenciado sob
+Apache License 2.0 (ver `LICENSE`).
+
+Modificacoes: ajuste fino LoRA r=64 (fundido nos pesos) no corpus v3 (alvos destilados do KapiTeacher-Mongo-7B, derivado de Qwen/Qwen2.5-Coder-7B; consultas geradas por LLM local Qwen3-14B, Apache-2.0, validadas por execucao; cortes de gramatica; replay). Os pesos do professor nao fazem parte deste pacote para autocomplete FIM de MongoDB no contrato `editor-context-v1` (dataset `v3`);
+exportacao para ONNX e quantizacao (int8, provider cpu) com onnxruntime-genai 0.15.2.
+Este pacote nao e um produto da Alibaba Cloud/Qwen. Os dados sinteticos (schemas ficticios) nao contem dados pessoais; o replay de codigo vem de
+pacotes npm com licencas MIT/Apache-2.0/BSD/ISC.

cpu-int8/README.md

@@ -0,0 +1,10 @@
+# KapiCoder-Mongo-Small v3 ONNX INT8
+
+Autocomplete FIM de MongoDB para o Kapibara Studio (1.5B, tier T1), pacote ONNX `int8` para CPU.
+
+- Contrato de contexto: `editor-context-v1` (QwenFimPromptBuilder + cabecalho do editor), contexto 2.048 tokens, ate 32 tokens gerados, greedy.
+- Paradas: `<|fim_prefix|>`, `<|fim_suffix|>`, `<|fim_middle|>`, `<|endoftext|>`, `<|im_end|>`, `<|fim_pad|>`.
+- Runtime: onnxruntime-genai >= 0.15.2 (`model.type = qwen2`, adapter Qwen da IDE).
+- Base: `Qwen/Qwen2.5-Coder-1.5B` @ `df3ce67c0e24480f20468b6ef2894622d69eb73b` (Apache-2.0). Dataset `v3`. Licenca Apache-2.0 (`LICENSE`, `NOTICE.md`).
+- Integridade: `kapicoder_manifest.json` (SHA-256 de cada arquivo) e `export_manifest.json` (ferramenta, comando, tamanhos).
+- Estado: **candidato nao qualificado**. Medidas de paridade/latencia do Python sao PROXY; o gate oficial vem do KapiLab/harness da IDE.

cpu-int8/added_tokens.json

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+{
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+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

cpu-int8/export_manifest.json

@@ -0,0 +1,131 @@
+{
+  "schema": "kapi-export-manifest-v1",
+  "package": "KapiCoder-Mongo-Small-v3-ONNX-int8",
+  "tier": "T1",
+  "variant": "int8",
+  "generation": "v3",
+  "created_utc": "2026-10-26T10:57:37Z",
+  "source": {
+    "merged_dir": "sft_v3",
+    "files_sha256": {
+      "config.json": "9dd8637a8aaa2eb099a2fbfcc1f3a13c47055b870a850fe807a90f91470165ed",
+      "generation_config.json": "444ea57ebf361c659d1f5c23508319b691e181d122588ea3cdd5f68d3e618b1f",
+      "merges.txt": "599bab54075088774b1733fde865d5bd747cbcc7a547c5bc12610e874e26f5e3",
+      "model.safetensors": "93a774dbc3335d85fefc9c11cf595f2a89d80c11177d11f3c85674744ab48108",
+      "tokenizer.json": "c0382117ea329cdf097041132f6d735924b697924d6f6fc3945713e96ce87539",
+      "tokenizer_config.json": "4a917e4772d9b246ef600e1c5d7d81e3a81ae9f3f2d10d78ccb02c86e5fb184a",
+      "vocab.json": "ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910"
+    },
+    "combined_sha256": "bec5799388cae64e11a1a44a00e253c60743d98d604a21aa2baf2fe122832495",
+    "dtype": "bfloat16",
+    "base": {
+      "path": "Qwen2.5-Coder-1.5B",
+      "repo_id": "Qwen/Qwen2.5-Coder-1.5B",
+      "revision": "df3ce67c0e24480f20468b6ef2894622d69eb73b",
+      "model_sha256": "8bcb242c05f271406b3f585b7688f86e350413612ef67bca6c61700b22d05f3b",
+      "tokenizer_sha256_identical_to_teacher": true
+    },
+    "dataset_version": "v3",
+    "training": {
+      "method_kind": "lora",
+      "corpusManifestSha256": "28ca2cb86c2526db8d5f03dd41c4366c1de98bf54e4f9d5f7b890e7c554589c0",
+      "corpusExamples": 309571,
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+      "trainGitCommit": "475159056fd7565f9fac63020ec317e93e1e5b01"
+    }
+  },
+  "build": {
+    "tool": "onnxruntime_genai.models.builder",
+    "tool_version": "0.15.2",
+    "precision": "int8",
+    "execution_provider": "cpu",
+    "extra_options": [
+      "op_types_to_quantize=MatMul",
+      "shared_embeddings=false",
+      "block_size=32",
+      "accuracy_level=4"
+    ],
+    "command": "python.exe -I -m onnxruntime_genai.models.builder -i sft_v3 -o KapiCoder-Mongo-Small-v3-ONNX-int8 -p int8 -e cpu -c export_cache_t1_int8 --extra_options op_types_to_quantize=MatMul shared_embeddings=false block_size=32 accuracy_level=4",
+    "build_seconds": 18.8
+  },
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+      "bytes": 2202
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+      "sha256": "a10080cbf3c38ea2d273dd698d6100c15276552c81246b2011b7493ee1c96539",
+      "bytes": 2301
+    },
+    {
+      "path": "LICENSE",
+      "sha256": "832dd9e00a68dd83b3c3fb9f5588dad7dcf337a0db50f7d9483f310cd292e92e",
+      "bytes": 11343
+    },
+    {
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+      "bytes": 1671839
+    },
+    {
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+      "bytes": 2691563520
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+      "sha256": "979e4850f8cea418310e575e70a8e24eb45f8fda2102801e81127fa23c20e6ea",
+      "bytes": 905
+    },
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+      "bytes": 7031645
+    },
+    {
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+      "bytes": 7308
+    },
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+      "sha256": "ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910",
+      "bytes": 2776833
+    }
+  ],
+  "sanitized": "caminhos locais trocados pelo ultimo componente ao montar o staging; o original fica so no workspace"
+}

cpu-int8/genai_config.json

@@ -0,0 +1,49 @@
+{
+  "model": {
+    "bos_token_id": 151643,
+    "context_length": 32768,
+    "decoder": {
+      "session_options": {
+        "log_id": "onnxruntime-genai",
+        "provider_options": []
+      },
+      "filename": "model.onnx",
+      "head_size": 128,
+      "hidden_size": 1536,
+      "inputs": {
+        "input_ids": "input_ids",
+        "attention_mask": "attention_mask",
+        "past_key_names": "past_key_values.%d.key",
+        "past_value_names": "past_key_values.%d.value"
+      },
+      "outputs": {
+        "logits": "logits",
+        "present_key_names": "present.%d.key",
+        "present_value_names": "present.%d.value"
+      },
+      "num_attention_heads": 12,
+      "num_hidden_layers": 28,
+      "num_key_value_heads": 2
+    },
+    "eos_token_id": 151643,
+    "pad_token_id": 151643,
+    "type": "qwen2",
+    "vocab_size": 151936
+  },
+  "search": {
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": true,
+    "length_penalty": 1.0,
+    "max_length": 2048,
+    "min_length": 0,
+    "no_repeat_ngram_size": 0,
+    "num_beams": 1,
+    "num_return_sequences": 1,
+    "past_present_share_buffer": true,
+    "repetition_penalty": 1.0,
+    "temperature": 1.0,
+    "top_k": 50,
+    "top_p": 1.0
+  }
+}

cpu-int8/generation_config.json

@@ -0,0 +1,6 @@
+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.43.1"
+}

cpu-int8/kapibarastudio-model.json

@@ -0,0 +1,63 @@
+{
+  "schema": "kapilab-kapi-model-v1",
+  "name": "KapiCoder-Mongo-Small v3 ONNX INT8",
+  "version": "3.0.0-preview.1",
+  "architecture": "qwen2",
+  "parameters": "1.5B",
+  "domain": [
+    "mongodb",
+    "mongosh",
+    "json",
+    "kapibara-dsl"
+  ],
+  "capabilities": [
+    "autocomplete",
+    "fim"
+  ],
+  "hardware": [
+    "cpu"
+  ],
+  "contextContract": "editor-context-v1",
+  "recommendedContextTokens": 2048,
+  "recommendedCompletionTokens": 32,
+  "generation": {
+    "autocomplete": {
+      "maxTokens": 32,
+      "temperature": 0
+    }
+  },
+  "runtime": {
+    "minimumGenAi": "0.15.2"
+  },
+  "stopSequences": [
+    "<|fim_prefix|>",
+    "<|fim_suffix|>",
+    "<|fim_middle|>",
+    "<|endoftext|>",
+    "<|im_end|>",
+    "<|fim_pad|>"
+  ],
+  "tier": "T1",
+  "variant": "int8",
+  "license": "Apache-2.0",
+  "modification": "Modelo derivado e MODIFICADO de Qwen/Qwen2.5-Coder-1.5B (ajuste fino de dominio MongoDB no corpus v3: destilacao do KapiTeacher-Mongo-7B, consultas geradas por LLM local (Qwen3-14B, Apache-2.0) validadas por execucao, cortes de gramatica e replay de codigo; exportado e quantizado para ONNX). Nao e um produto da Alibaba Cloud/Qwen.",
+  "base": {
+    "repo_id": "Qwen/Qwen2.5-Coder-1.5B",
+    "revision": "df3ce67c0e24480f20468b6ef2894622d69eb73b",
+    "license": "Apache-2.0"
+  },
+  "datasetVersion": "v3",
+  "training": {
+    "run": "sft_v3",
+    "method": "SFT ajuste fino LoRA r=64 (fundido nos pesos) FIM editor-context-v1, corpus v3 (alvos destilados do KapiTeacher-Mongo-7B + cortes gerados por LLM local + gramatica + replay)",
+    "mergedWeightsSha256": "93a774dbc3335d85fefc9c11cf595f2a89d80c11177d11f3c85674744ab48108",
+    "method_kind": "lora",
+    "corpusManifestSha256": "28ca2cb86c2526db8d5f03dd41c4366c1de98bf54e4f9d5f7b890e7c554589c0",
+    "corpusExamples": 309571,
+    "trainConfigSha256": "20a67dc5334c753dc161cfbade0b8fb6eddf7bc57ff252855981e4731c39847c",
+    "trainFingerprint": "fae6f4a67ee20637b6cf149a8ba426bb558029fe69706b175f5c34ded3fe0794",
+    "trainGitCommit": "475159056fd7565f9fac63020ec317e93e1e5b01"
+  },
+  "manifest": "kapicoder_manifest.json",
+  "status": "candidate-unqualified (medidas proxy do Python; o gate oficial e do KapiLab)"
+}

cpu-int8/kapicoder_manifest.json

@@ -0,0 +1,78 @@
+{
+  "schema": "kapilab-kapicoder-manifest-v1",
+  "package": "KapiCoder-Mongo-Small-v3-ONNX-int8",
+  "version": "3.0.0-preview.1",
+  "created_utc": "2026-10-26T10:57:36Z",
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+      "bytes": 2776833
+    }
+  ]
+}

cpu-int8/model.onnx

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cpu-int8/model.onnx.data

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cpu-int8/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

cpu-int8/tokenizer_config.json

@@ -0,0 +1,207 @@
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+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

dml-fp16/LICENSE

@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
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+
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+   4. Redistribution. You may reproduce and distribute copies of the
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+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
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+
+      (c) You must retain, in the Source form of any Derivative Works
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+
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+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
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+      the terms of any separate license agreement you may have executed
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+
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+
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+      To apply the Apache License to your work, attach the following
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+   See the License for the specific language governing permissions and
+   limitations under the License.

dml-fp16/NOTICE.md

@@ -0,0 +1,9 @@
+# NOTICE
+
+KapiCoder-Mongo-Small ONNX `dml-fp16` (3.0.0-preview.1) e um trabalho derivado e **modificado** de `Qwen/Qwen2.5-Coder-1.5B` (revisao `df3ce67c0e24480f20468b6ef2894622d69eb73b`), licenciado sob
+Apache License 2.0 (ver `LICENSE`).
+
+Modificacoes: ajuste fino LoRA r=64 (fundido nos pesos) no corpus v3 (alvos destilados do KapiTeacher-Mongo-7B, derivado de Qwen/Qwen2.5-Coder-7B; consultas geradas por LLM local Qwen3-14B, Apache-2.0, validadas por execucao; cortes de gramatica; replay). Os pesos do professor nao fazem parte deste pacote para autocomplete FIM de MongoDB no contrato `editor-context-v1` (dataset `v3`);
+exportacao para ONNX e quantizacao (fp16, provider dml) com onnxruntime-genai 0.15.2.
+Este pacote nao e um produto da Alibaba Cloud/Qwen. Os dados sinteticos (schemas ficticios) nao contem dados pessoais; o replay de codigo vem de
+pacotes npm com licencas MIT/Apache-2.0/BSD/ISC.

dml-fp16/README.md

@@ -0,0 +1,10 @@
+# KapiCoder-Mongo-Small v3 ONNX DML-FP16
+
+Autocomplete FIM de MongoDB para o Kapibara Studio (1.5B, tier T1), pacote ONNX `dml-fp16` para GPU DirectML.
+
+- Contrato de contexto: `editor-context-v1` (QwenFimPromptBuilder + cabecalho do editor), contexto 2.048 tokens, ate 32 tokens gerados, greedy.
+- Paradas: `<|fim_prefix|>`, `<|fim_suffix|>`, `<|fim_middle|>`, `<|endoftext|>`, `<|im_end|>`, `<|fim_pad|>`.
+- Runtime: onnxruntime-genai >= 0.15.2 (`model.type = qwen2`, adapter Qwen da IDE).
+- Base: `Qwen/Qwen2.5-Coder-1.5B` @ `df3ce67c0e24480f20468b6ef2894622d69eb73b` (Apache-2.0). Dataset `v3`. Licenca Apache-2.0 (`LICENSE`, `NOTICE.md`).
+- Integridade: `kapicoder_manifest.json` (SHA-256 de cada arquivo) e `export_manifest.json` (ferramenta, comando, tamanhos).
+- Estado: **candidato nao qualificado**. Medidas de paridade/latencia do Python sao PROXY; o gate oficial vem do KapiLab/harness da IDE.

dml-fp16/added_tokens.json

@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

dml-fp16/export_manifest.json

@@ -0,0 +1,126 @@
+{
+  "schema": "kapi-export-manifest-v1",
+  "package": "KapiCoder-Mongo-Small-v3-ONNX-dml-fp16",
+  "tier": "T1",
+  "variant": "dml-fp16",
+  "generation": "v3",
+  "created_utc": "2026-10-26T10:57:41Z",
+  "source": {
+    "merged_dir": "sft_v3",
+    "files_sha256": {
+      "config.json": "9dd8637a8aaa2eb099a2fbfcc1f3a13c47055b870a850fe807a90f91470165ed",
+      "generation_config.json": "444ea57ebf361c659d1f5c23508319b691e181d122588ea3cdd5f68d3e618b1f",
+      "merges.txt": "599bab54075088774b1733fde865d5bd747cbcc7a547c5bc12610e874e26f5e3",
+      "model.safetensors": "93a774dbc3335d85fefc9c11cf595f2a89d80c11177d11f3c85674744ab48108",
+      "tokenizer.json": "c0382117ea329cdf097041132f6d735924b697924d6f6fc3945713e96ce87539",
+      "tokenizer_config.json": "4a917e4772d9b246ef600e1c5d7d81e3a81ae9f3f2d10d78ccb02c86e5fb184a",
+      "vocab.json": "ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910"
+    },
+    "combined_sha256": "bec5799388cae64e11a1a44a00e253c60743d98d604a21aa2baf2fe122832495",
+    "dtype": "bfloat16",
+    "base": {
+      "path": "Qwen2.5-Coder-1.5B",
+      "repo_id": "Qwen/Qwen2.5-Coder-1.5B",
+      "revision": "df3ce67c0e24480f20468b6ef2894622d69eb73b",
+      "model_sha256": "8bcb242c05f271406b3f585b7688f86e350413612ef67bca6c61700b22d05f3b",
+      "tokenizer_sha256_identical_to_teacher": true
+    },
+    "dataset_version": "v3",
+    "training": {
+      "method_kind": "lora",
+      "corpusManifestSha256": "28ca2cb86c2526db8d5f03dd41c4366c1de98bf54e4f9d5f7b890e7c554589c0",
+      "corpusExamples": 309571,
+      "trainConfigSha256": "20a67dc5334c753dc161cfbade0b8fb6eddf7bc57ff252855981e4731c39847c",
+      "trainFingerprint": "fae6f4a67ee20637b6cf149a8ba426bb558029fe69706b175f5c34ded3fe0794",
+      "trainGitCommit": "475159056fd7565f9fac63020ec317e93e1e5b01"
+    }
+  },
+  "build": {
+    "tool": "onnxruntime_genai.models.builder",
+    "tool_version": "0.15.2",
+    "precision": "fp16",
+    "execution_provider": "dml",
+    "extra_options": [],
+    "command": "python.exe -I -m onnxruntime_genai.models.builder -i sft_v3 -o KapiCoder-Mongo-Small-v3-ONNX-dml-fp16 -p fp16 -e dml -c export_cache_t1_dml-fp16",
+    "build_seconds": 10.3
+  },
+  "total_bytes": 3107606592,
+  "files": [
+    {
+      "path": "added_tokens.json",
+      "sha256": "f0acedf99e19ec0a5b797ffbd0b94328172ccd90f7f385bbc521cda2701b03ab",
+      "bytes": 629
+    },
+    {
+      "path": "genai_config.json",
+      "sha256": "6b36b4b3a16c246df98a2af856d21b32d01afe1c5d404ecf4fe6accec73f45c8",
+      "bytes": 1386
+    },
+    {
+      "path": "generation_config.json",
+      "sha256": "444ea57ebf361c659d1f5c23508319b691e181d122588ea3cdd5f68d3e618b1f",
+      "bytes": 117
+    },
+    {
+      "path": "kapibarastudio-model.json",
+      "sha256": "7ef6fec6eefc676a6898580ce7eb850684f5db86dd50c979f6be9c47e543faec",
+      "bytes": 2210
+    },
+    {
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+      "sha256": "f301199a378d1cb81e00d303158d09567021c048df0b9de8958f70f8ea14ac09",
+      "bytes": 2305
+    },
+    {
+      "path": "LICENSE",
+      "sha256": "832dd9e00a68dd83b3c3fb9f5588dad7dcf337a0db50f7d9483f310cd292e92e",
+      "bytes": 11343
+    },
+    {
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+      "sha256": "599bab54075088774b1733fde865d5bd747cbcc7a547c5bc12610e874e26f5e3",
+      "bytes": 1671839
+    },
+    {
+      "path": "model.onnx",
+      "sha256": "24f259bbc3a4b403355e732da8e9f4e90f35219d5d7a2ce3ff6231b7dcf656e1",
+      "bytes": 243411
+    },
+    {
+      "path": "model.onnx.data",
+      "sha256": "7c4d1095ba84625427a1a851cdfac3452cd7f3355d81b1cdda4de9bc42e6cdd8",
+      "bytes": 3095855104
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+  "sanitized": "caminhos locais trocados pelo ultimo componente ao montar o staging; o original fica so no workspace"
+}

dml-fp16/genai_config.json

@@ -0,0 +1,56 @@
+{
+  "model": {
+    "bos_token_id": 151643,
+    "context_length": 32768,
+    "decoder": {
+      "session_options": {
+        "log_id": "onnxruntime-genai",
+        "provider_options": [
+          {
+            "dml": {
+              "enable_graph_capture": "1"
+            }
+          }
+        ]
+      },
+      "filename": "model.onnx",
+      "head_size": 128,
+      "hidden_size": 1536,
+      "inputs": {
+        "input_ids": "input_ids",
+        "attention_mask": "attention_mask",
+        "position_ids": "position_ids",
+        "past_key_names": "past_key_values.%d.key",
+        "past_value_names": "past_key_values.%d.value"
+      },
+      "outputs": {
+        "logits": "logits",
+        "present_key_names": "present.%d.key",
+        "present_value_names": "present.%d.value"
+      },
+      "num_attention_heads": 12,
+      "num_hidden_layers": 28,
+      "num_key_value_heads": 2
+    },
+    "eos_token_id": 151643,
+    "pad_token_id": 151643,
+    "type": "qwen2",
+    "vocab_size": 151936
+  },
+  "search": {
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": true,
+    "length_penalty": 1.0,
+    "max_length": 2048,
+    "min_length": 0,
+    "no_repeat_ngram_size": 0,
+    "num_beams": 1,
+    "num_return_sequences": 1,
+    "past_present_share_buffer": true,
+    "repetition_penalty": 1.0,
+    "temperature": 1.0,
+    "top_k": 50,
+    "top_p": 1.0
+  }
+}

dml-fp16/generation_config.json

@@ -0,0 +1,6 @@
+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.43.1"
+}

dml-fp16/kapibarastudio-model.json

@@ -0,0 +1,63 @@
+{
+  "schema": "kapilab-kapi-model-v1",
+  "name": "KapiCoder-Mongo-Small v3 ONNX DML-FP16",
+  "version": "3.0.0-preview.1",
+  "architecture": "qwen2",
+  "parameters": "1.5B",
+  "domain": [
+    "mongodb",
+    "mongosh",
+    "json",
+    "kapibara-dsl"
+  ],
+  "capabilities": [
+    "autocomplete",
+    "fim"
+  ],
+  "hardware": [
+    "gpu"
+  ],
+  "contextContract": "editor-context-v1",
+  "recommendedContextTokens": 2048,
+  "recommendedCompletionTokens": 32,
+  "generation": {
+    "autocomplete": {
+      "maxTokens": 32,
+      "temperature": 0
+    }
+  },
+  "runtime": {
+    "minimumGenAi": "0.15.2"
+  },
+  "stopSequences": [
+    "<|fim_prefix|>",
+    "<|fim_suffix|>",
+    "<|fim_middle|>",
+    "<|endoftext|>",
+    "<|im_end|>",
+    "<|fim_pad|>"
+  ],
+  "tier": "T1",
+  "variant": "dml-fp16",
+  "license": "Apache-2.0",
+  "modification": "Modelo derivado e MODIFICADO de Qwen/Qwen2.5-Coder-1.5B (ajuste fino de dominio MongoDB no corpus v3: destilacao do KapiTeacher-Mongo-7B, consultas geradas por LLM local (Qwen3-14B, Apache-2.0) validadas por execucao, cortes de gramatica e replay de codigo; exportado e quantizado para ONNX). Nao e um produto da Alibaba Cloud/Qwen.",
+  "base": {
+    "repo_id": "Qwen/Qwen2.5-Coder-1.5B",
+    "revision": "df3ce67c0e24480f20468b6ef2894622d69eb73b",
+    "license": "Apache-2.0"
+  },
+  "datasetVersion": "v3",
+  "training": {
+    "run": "sft_v3",
+    "method": "SFT ajuste fino LoRA r=64 (fundido nos pesos) FIM editor-context-v1, corpus v3 (alvos destilados do KapiTeacher-Mongo-7B + cortes gerados por LLM local + gramatica + replay)",
+    "mergedWeightsSha256": "93a774dbc3335d85fefc9c11cf595f2a89d80c11177d11f3c85674744ab48108",
+    "method_kind": "lora",
+    "corpusManifestSha256": "28ca2cb86c2526db8d5f03dd41c4366c1de98bf54e4f9d5f7b890e7c554589c0",
+    "corpusExamples": 309571,
+    "trainConfigSha256": "20a67dc5334c753dc161cfbade0b8fb6eddf7bc57ff252855981e4731c39847c",
+    "trainFingerprint": "fae6f4a67ee20637b6cf149a8ba426bb558029fe69706b175f5c34ded3fe0794",
+    "trainGitCommit": "475159056fd7565f9fac63020ec317e93e1e5b01"
+  },
+  "manifest": "kapicoder_manifest.json",
+  "status": "candidate-unqualified (medidas proxy do Python; o gate oficial e do KapiLab)"
+}

dml-fp16/kapicoder_manifest.json

@@ -0,0 +1,78 @@
+{
+  "schema": "kapilab-kapicoder-manifest-v1",
+  "package": "KapiCoder-Mongo-Small-v3-ONNX-dml-fp16",
+  "version": "3.0.0-preview.1",
+  "created_utc": "2026-10-26T10:57:39Z",
+  "files": [
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+      "bytes": 117
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+    {
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+      "bytes": 11343
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+    }
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+}

dml-fp16/model.onnx

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dml-fp16/model.onnx.data

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dml-fp16/special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

dml-fp16/tokenizer_config.json

@@ -0,0 +1,207 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+      "lstrip": false,
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+      "single_word": false,
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+      "special": true
+    },
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+    "<|object_ref_end|>",
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+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}