commit 742069298906b40cd520e292db0f67c9e9aa103c
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Sun Aug 23 07:47:16 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: ptvnck/qwen2.5-1.5b-exam-tutor
    Source: Original Platform

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000..52373fe
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz 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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..d667249
--- /dev/null
+++ b/README.md
@@ -0,0 +1,178 @@
+---
+license: apache-2.0
+base_model: unsloth/Qwen2.5-1.5B-Instruct
+language:
+- en
+- ru
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- qwen2
+- unsloth
+- trl
+- sft
+- lora
+- education
+- tutoring
+- conversational
+datasets:
+- ptvnck/TutoringDialogs
+- eth-nlped/mathdial
+model-index:
+- name: qwen2.5-1.5b-exam-tutor
+  results: []
+---
+
+<div align="center">
+
+<span style="font-size:44px; font-weight:bold">Qwen2.5-1.5B Exam Tutor</span>
+
+**Tutoring assistant for preparing to exams, fine-tuned to help you *think*, not just get answers.**
+
+[![Base Model](https://img.shields.io/badge/base-Qwen2.5--1.5B--Instruct-blue)](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+[![License](https://img.shields.io/badge/license-Apache%202.0-green)](https://www.apache.org/licenses/LICENSE-2.0)
+[![Made with Unsloth](https://img.shields.io/badge/made%20with-Unsloth%20%2B%20TRL-orange)](https://github.com/unslothai/unsloth)
+[![Method](https://img.shields.io/badge/method-LoRA%20SFT-purple)]()
+
+</div>
+
+---
+
+## Overview
+
+`qwen2.5-1.5b-exam-tutor` is a LoRA fine-tune of [`Qwen2.5-1.5B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct), trained to behave like a **patient human tutor** rather than an answer-dispensing machine. Instead of solving a problem outright, the model is trained to ask guiding questions, probe for misconceptions, and walk the student toward the solution themselves — the same pattern a good teacher uses during exam prep.
+
+This model is the **first stage** of a larger personal-assistant project for exam preparation, which also includes a RAG pipeline over practice problems and a FastAPI serving layer accelerated with vLLM/Ollama.
+
+> This is an educational / portfolio project, not a production system. Scope, dataset size, and evaluation depth are intentionally sized for a learning exercise — see [Limitations](#-limitations--scope) below.
+
+## Model Details
+
+| | |
+|---|---|
+| **Base model** | [`unsloth/Qwen2.5-1.5B-Instruct`](https://huggingface.co/unsloth/Qwen2.5-1.5B-Instruct) |
+| **Fine-tuning method** | LoRA (rank 16), full precision (no 4-bit quantization) |
+| **Frameworks** | [Unsloth](https://github.com/unslothai/unsloth) + [TRL](https://github.com/huggingface/trl) `SFTTrainer` |
+| **Weights format** | Merged 16-bit safetensors (adapter merged into base) |
+| **Language** | English / Russian |
+| **License** | Apache 2.0 (inherited from base model) |
+
+## Intended Use
+
+- Conversational tutoring for exam preparation: math word problems, conceptual explanations, step-by-step reasoning practice.
+- Designed to be embedded as the generation backend of a larger RAG + FastAPI tutoring assistant (see [Roadmap](#-roadmap)).
+- **Not intended** as a general-purpose assistant, factual knowledge base, or replacement for a real teacher — the model's job is to *guide*, its factual accuracy on niche topics is not separately verified.
+
+## Training Data
+
+650 student ↔ tutor dialogues, combined from two sources:
+
+| Source | Dialogues used | Notes |
+|---|---|---|
+| [`ptvnck/TutoringDialogs`](https://huggingface.co/datasets/ptvnck/TutoringDialogs) | 500 | Synthetically generated, manually curated tutoring dialogues across mixed subjects |
+| [`eth-nlped/mathdial`](https://huggingface.co/datasets/eth-nlped/mathdial) | 150 | Filtered (dialogues with >11 turns) and reformatted subset, added specifically to cover math word-problem tutoring, which was underrepresented in the primary dataset |
+
+Data was split 85/15 into train/validation (≈552 / 98 examples), formatted with the tokenizer's ChatML template, and capped at 2500 tokens (covering the 99th percentile of dialogue length with no truncation).
+
+## Training Procedure
+
+<details>
+<summary><b>LoRA configuration</b></summary>
+
+| Parameter | Value |
+|---|---|
+| Rank (`r`) | 16 |
+| Alpha (`lora_alpha`) | 32 |
+| Target modules | `q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj` |
+| Dropout | 0.1 |
+| Bias | none |
+| Gradient checkpointing | Unsloth-optimized |
+
+</details>
+
+<details>
+<summary><b>Optimization hyperparameters</b></summary>
+
+| Parameter | Value |
+|---|---|
+| Effective batch size | 12 (4 × grad. accumulation 3) |
+| Epochs | 4 (best checkpoint auto-selected) |
+| Learning rate | 2e-4, cosine schedule |
+| Warmup | 10% of total steps |
+| Optimizer | AdamW (torch) |
+| Precision | fp16 |
+| Loss masking | Response-only (`train_on_responses_only`) — loss computed exclusively on tutor turns |
+| Hardware | 1× NVIDIA T4 (Google Colab) |
+
+</details>
+
+**Response-only loss masking.** Only the tutor's turns contribute to the training loss; the student's turns are masked out. This keeps the adapter's limited capacity focused entirely on learning *how to tutor*, rather than also learning to imitate the student side of the conversation.
+
+## Results
+
+| Epoch | Training Loss | Validation Loss |
+|---|---|---|
+| 1 | 1.655 | 1.724 |
+| 2 | 1.389 | 1.516 |
+| **3** | **1.050** | **1.506** ← best |
+| 4 | 0.703 | 1.580 |
+
+- **Best validation loss:** 1.506 (epoch 3) → **perplexity ≈ 4.51**
+- Training loss keeps decreasing through epoch 4, while validation loss starts rising after epoch 3 — a clear sign of overfitting setting in on the final epoch, expected given the modest dataset size (~550 training examples).
+- `load_best_model_at_end=True` automatically restored the epoch-3 checkpoint as the final model, so the released weights are **not** the last-epoch weights, but the best-validation checkpoint.
+
+Full training curves (loss, LR schedule) were tracked with Weights & Biases.
+
+## How to Use
+
+**With 🤗 Transformers:**
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("ptvnck/qwen2.5-1.5b-exam-tutor")
+model = AutoModelForCausalLM.from_pretrained("ptvnck/qwen2.5-1.5b-exam-tutor")
+
+messages = [
+    {"role": "user", "content": "I need to solve 2x + 5 = 15 but I don't know where to start."}
+]
+inputs = tokenizer.apply_chat_template(
+    messages, add_generation_prompt=True, tokenize=True,
+    return_dict=True, return_tensors="pt"
+).to(model.device)
+
+outputs = model.generate(**inputs, max_new_tokens=200, temperature=0.7)
+print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))
+```
+
+**With Unsloth (2x faster inference):**
+
+```python
+from unsloth import FastLanguageModel
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name="ptvnck/qwen2.5-1.5b-exam-tutor",
+    max_seq_length=2048,
+)
+FastLanguageModel.for_inference(model)
+```
+
+**With vLLM:**
+
+```bash
+pip install vllm
+vllm serve "ptvnck/qwen2.5-1.5b-exam-tutor"
+```
+
+## Limitations & Scope
+
+- Trained on 650 dialogues — sufficient to learn a tutoring *pattern*, but not a broad knowledge base. Expect a strong grasp of *conversational tutoring style*, and a shallower grasp of niche subject-matter facts.
+- No dedicated generation-quality evaluation (human eval / LLM-as-judge) was run as part of this stage — this is deferred to the RAG + FastAPI integration stage of the project, where end-to-end assistant responses will be evaluated in context rather than in isolation.
+- Not safety-tuned beyond what the base `Qwen2.5-1.5B-Instruct` already provides.
+
+## Acknowledgements
+
+- Base model: [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) by the Qwen team
+- Training accelerated with [Unsloth](https://github.com/unslothai/unsloth)
+- Trained using Hugging Face [TRL](https://github.com/huggingface/trl)
+- `mathdial` subset: [eth-nlped/mathdial](https://huggingface.co/datasets/eth-nlped/mathdial)
\ No newline at end of file
diff --git a/chat_template.jinja b/chat_template.jinja
new file mode 100644
index 0000000..bdf7919
--- /dev/null
+++ b/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..9bdc92a
--- /dev/null
+++ b/config.json
@@ -0,0 +1,62 @@
+{
+    "architectures": [
+        "Qwen2ForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": null,
+    "torch_dtype": "float16",
+    "eos_token_id": 151645,
+    "hidden_act": "silu",
+    "hidden_size": 1536,
+    "initializer_range": 0.02,
+    "intermediate_size": 8960,
+    "layer_types": [
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 32768,
+    "max_window_layers": 21,
+    "model_type": "qwen2",
+    "num_attention_heads": 12,
+    "num_hidden_layers": 28,
+    "num_key_value_heads": 2,
+    "pad_token_id": 151654,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 1000000.0,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.7.2",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}
\ No newline at end of file
diff --git a/generation_config.json b/generation_config.json
new file mode 100644
index 0000000..83be784
--- /dev/null
+++ b/generation_config.json
@@ -0,0 +1,14 @@
+{
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "max_length": 32768,
+  "pad_token_id": 151654,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.5.0"
+}
diff --git a/model.safetensors b/model.safetensors
new file mode 100644
index 0000000..4b441e3
--- /dev/null
+++ b/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6debc3376278ed2e7151e9957304321e895a849bcf9f63f6d0d0622bf5323491
+size 3087467144
diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000..d73428d
--- /dev/null
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b4360dd6a184650ffc48056c2569bc603f896c5adfe94b10f1c79f809638aa5
+size 11422166
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..ec09d92
--- /dev/null
+++ b/tokenizer_config.json
@@ -0,0 +1,194 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": false,
+  "model_max_length": 32768,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    }
+  },
+  "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"
+}
\ No newline at end of file