Add files using upload-large-folder tool

README.md

@@ -1,33 +1,8 @@
 ---
-tags:
-- unsloth
-base_model:
-- MiniMaxAI/MiniMax-M2
 pipeline_tag: text-generation
 license: mit
 library_name: transformers
 ---
-> [!NOTE]
->  Includes Unsloth **chat template fixes**! <br> For `llama.cpp`, use `--jinja`
->
-
-<div>
-<p style="margin-top: 0;margin-bottom: 0;">
-    <em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
-  </p>
-  <div style="display: flex; gap: 5px; align-items: center; ">
-    <a href="https://github.com/unslothai/unsloth/">
-      <img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
-    </a>
-    <a href="https://discord.gg/unsloth">
-      <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
-    </a>
-    <a href="https://docs.unsloth.ai/">
-      <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
-    </a>
-  </div>
-</div>
-
 
 <div align="center">
 
@@ -200,6 +175,11 @@ We recommend using [SGLang](https://docs.sglang.ai/) to serve MiniMax-M2. SGLang
 
 We recommend using [vLLM](https://docs.vllm.ai/en/stable/) to serve MiniMax-M2. vLLM provides efficient day-0 support of MiniMax-M2 model, check https://docs.vllm.ai/projects/recipes/en/latest/MiniMax/MiniMax-M2.html for latest deployment guide. We also provide our [vLLM Deployment Guide](https://huggingface.co/MiniMaxAI/MiniMax-M2/blob/main/docs/vllm_deploy_guide.md).
 
+### MLX
+
+We recommend using [MLX-LM](https://github.com/ml-explore/mlx-lm) to serve MiniMax-M2.  Please refer to our [MLX Deployment Guide](https://huggingface.co/MiniMaxAI/MiniMax-M2/blob/main/docs/mlx_deploy_guide.md) for more details.
+
+
 ### Inference Parameters
 We recommend using the following parameters for best performance: `temperature=1.0`, `top_p = 0.95`, `top_k = 40`.
 
@@ -209,6 +189,16 @@ We recommend using the following parameters for best performance: `temperature=1
 
 Please refer to our [Tool Calling Guide](https://huggingface.co/MiniMaxAI/MiniMax-M2/blob/main/docs/tool_calling_guide.md).
 
+
+
+# Community Showcases
+
+> The projects below are built and maintained by the community/partners. They are not official MiniMax products, and results may vary.
+
+- **AnyCoder** — a web IDE–style coding assistant Space on Hugging Face, **uses MiniMax-M2 as the default model**: https://huggingface.co/spaces/akhaliq/anycoder  
+  *Maintainer:* @akhaliq (Hugging Face)
+
+
 # Contact Us
 
-Contact us at [model@minimax.io](mailto:model@minimax.io).
+Contact us at [model@minimax.io](mailto:model@minimax.io) | [WeChat](https://github.com/MiniMax-AI/MiniMax-AI.github.io/blob/main/images/wechat-qrcode.jpeg).

chat_template.jinja

@@ -4,7 +4,7 @@
 {#- Tool Rendering Functions ============================================== -#}
 {%- macro render_tool_namespace(namespace_name, tool_list) -%}
 {%- for tool in tool_list -%}
-<tool>{{ tool.function | tojson|string }}</tool>
+<tool>{{ tool.function | tojson(ensure_ascii=False) }}</tool>
 {% endfor -%}
 {%- endmacro -%}
 {%- macro visible_text(content) -%}
@@ -111,7 +111,7 @@
                 {% set _args = tool_call.arguments %}
                 {%- for k, v in _args.items() %}
                 {{- '<parameter name="' + k + '">' }}
-                {{- v | tojson|string if v is not string else v }}
+                {{- v | tojson(ensure_ascii=False) if v is not string else v }}
                 {{- '</parameter>' }}
                 {% endfor %}
                 {{- '</invoke>' ~ '\n' }}

config.json

@@ -67,88 +67,17 @@
     1,
     1
   ],
-  "block_size": 256,
   "bos_token_id": null,
   "eos_token_id": null,
-  "full_attn_alpha_factor": 1,
-  "full_attn_beta_factor": 1,
   "head_dim": 128,
   "hidden_act": "silu",
   "hidden_size": 3072,
   "initializer_range": 0.02,
   "intermediate_size": 1536,
-  "layer_types": [
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention",
-    "full_attention",
-    "linear_attention"
-  ],
   "layernorm_full_attention_beta": 1.0,
   "layernorm_linear_attention_beta": 1.0,
   "layernorm_mlp_beta": 1.0,
-  "linear_attn_alpha_factor": 1,
-  "linear_attn_beta_factor": 1,
   "max_position_embeddings": 196608,
-  "mlp_alpha_factor": 1,
-  "mlp_beta_factor": 1,
   "mlp_intermediate_size": 8192,
   "model_type": "minimax",
   "mtp_transformer_layers": 1,
@@ -159,7 +88,6 @@
   "num_local_experts": 256,
   "num_mtp_modules": 3,
   "output_router_logits": false,
-  "pad_token_id": 200004,
   "qk_norm_type": "per_layer",
   "quantization_config": {
     "activation_scheme": "dynamic",
@@ -180,11 +108,10 @@
   "shared_moe_mode": "sigmoid",
   "sliding_window": null,
   "tie_word_embeddings": false,
-  "transformers_version": "4.57.1",
-  "unsloth_fixed": true,
+  "transformers_version": "4.46.1",
   "use_cache": true,
   "use_mtp": true,
   "use_qk_norm": true,
   "use_routing_bias": true,
   "vocab_size": 200064
-}
+}

docs/mlx_deploy_guide.md

@@ -0,0 +1,70 @@
+## MLX deployment guide
+
+Run, serve, and fine-tune [**MiniMax-M2**](https://huggingface.co/MiniMaxAI/MiniMax-M2) locally on your Mac using the **MLX** framework. This guide gets you up and running quickly.
+
+> **Requirements**  
+> - Apple Silicon Mac (M3 Ultra or later)  
+> - **At least 256GB of unified memory (RAM)**  
+
+
+**Installation**
+
+Install the `mlx-lm` package via pip:
+
+```bash
+pip install -U mlx-lm
+```
+
+**CLI**
+
+Generate text directly from the terminal:
+
+```bash
+mlx_lm.generate \
+  --model mlx-community/MiniMax-M2-4bit \
+  --prompt "How tall is Mount Everest?"
+```
+
+> Add `--max-tokens 256` to control response length, or `--temp 0.7` for creativity.
+
+**Python Script Example**
+
+Use `mlx-lm` in your own Python scripts:
+
+```python
+from mlx_lm import load, generate
+
+# Load the quantized model
+model, tokenizer = load("mlx-community/MiniMax-M2-4bit")
+
+prompt = "Hello, how are you?"
+
+# Apply chat template if available (recommended for chat models)
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages,
+        tokenize=False,
+        add_generation_prompt=True
+    )
+
+# Generate response
+response = generate(
+    model,
+    tokenizer,
+    prompt=prompt,
+    max_tokens=256,
+    temp=0.7,
+    verbose=True
+)
+
+print(response)
+```
+
+**Tips**
+- **Model variants**: Check this [MLX community collection on Hugging Face](https://huggingface.co/collections/mlx-community/minimax-m2) for `MiniMax-M2-4bit`, `6bit`, `8bit`, or `bfloat16` versions.
+- **Fine-tuning**: Use `mlx-lm.lora` for efficient parameter-efficient fine-tuning (PEFT).
+
+**Resources**  
+- GitHub: [https://github.com/ml-explore/mlx-lm](https://github.com/ml-explore/mlx-lm)  
+- Models: [https://huggingface.co/mlx-community](https://huggingface.co/mlx-community)

docs/sglang_deploy_guide_cn.md

@@ -112,4 +112,7 @@ export HF_ENDPOINT=https://hf-mirror.com
 - 通过邮箱 [model@minimax.io](mailto:model@minimax.io) 等官方渠道联系我们的技术支持团队
 
 - 在我们的 [GitHub](https://github.com/MiniMax-AI) 仓库提交 Issue
+
+- 通过我们的 [官方企业微信交流群](https://github.com/MiniMax-AI/MiniMax-AI.github.io/blob/main/images/wechat-qrcode.jpeg) 反馈
+
 我们会持续优化模型的部署体验，欢迎反馈！

docs/tool_calling_guide_cn.md

@@ -482,4 +482,16 @@ def execute_function_call(function_name: str, arguments: dict):
 - [MiniMax-M2 模型仓库](https://github.com/MiniMax-AI/MiniMax-M2)
 - [vLLM 项目主页](https://github.com/vllm-project/vllm)
 - [SGLang 项目主页](https://github.com/sgl-project/sglang)
-- [OpenAI Python SDK](https://github.com/openai/openai-python)
+- [OpenAI Python SDK](https://github.com/openai/openai-python)
+
+## 获取支持
+
+如果遇到任何问题：
+
+- 通过邮箱 [model@minimax.io](mailto:model@minimax.io) 等官方渠道联系我们的技术支持团队
+
+- 在我们的仓库提交 Issue
+
+- 通过我们的 [官方企业微信交流群](https://github.com/MiniMax-AI/MiniMax-AI.github.io/blob/main/images/wechat-qrcode.jpeg) 反馈
+
+我们会持续优化模型的使用体验，欢迎反馈！

docs/vllm_deploy_guide_cn.md

@@ -110,4 +110,7 @@ SAFETENSORS_FAST_GPU=1 vllm serve \
 - 通过邮箱 [model@minimax.io](mailto:model@minimax.io) 等官方渠道联系我们的技术支持团队
 
 - 在我们的 [GitHub](https://github.com/MiniMax-AI) 仓库提交 Issue
+
+- 通过我们的 [官方企业微信交流群](https://github.com/MiniMax-AI/MiniMax-AI.github.io/blob/main/images/wechat-qrcode.jpeg) 反馈
+
 我们会持续优化模型的部署体验，欢迎反馈！

merges.txt

@@ -199742,4 +199742,4 @@ ch ile
 ع اÙĨ
 Ġdel ving
 Ġت ÙĥÙĪÙĬÙĨ
-.ch romium
+.ch romium

tokenizer.json

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       "content": "<repo_struct>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
-    },
-    "200043": {
-      "content": "<code_context>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "200044": {
-      "content": "<file_content>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "200045": {
-      "content": "<source_files>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "200046": {
-      "content": "<pr_start>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "200047": {
-      "content": "<review_comment>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "200048": {
-      "content": "<filepath>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "200049": {
-      "content": "<file_sep>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "200050": {
-      "content": "<think>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "200051": {
-      "content": "</think>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "200052": {
-      "content": "<minimax:tool_call>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "200053": {
-      "content": "</minimax:tool_call>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    }
+  },
+  "200043": {
+    "content": "<code_context>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": true
+  },
+  "200044": {
+    "content": "<file_content>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": true
+  },
+  "200045": {
+    "content": "<source_files>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": true
+  },
+  "200046": {
+    "content": "<pr_start>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": true
+  },
+  "200047": {
+    "content": "<review_comment>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": true
+  },
+  "200048": {
+    "content": "<filepath>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": true
+  },
+  "200049": {
+    "content": "<file_sep>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": true
+  },
+  "200050": {
+    "content": "<think>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": false
+  },
+  "200051": {
+    "content": "</think>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": false
+  },
+  "200052": {
+    "content": "<minimax:tool_call>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": false
+  },  
+  "200053": {
+    "content": "</minimax:tool_call>",
+    "single_word": false,
+    "lstrip": false,
+    "rstrip": false,
+    "normalized": false,
+    "special": false
+  }
   },
   "additional_special_tokens": [
-    "<code_interpreter>",
-    "<commit_after>",
-    "<commit_before>",
-    "<commit_msg>",
-    "<empty_output>",
-    "<filename>",
-    "<fim_middle>",
-    "<fim_pad>",
-    "<fim_prefix>",
-    "<fim_suffix>",
-    "<function_call>",
-    "<gh_stars>",
-    "]<]speech[>[",
-    "]<]image[>[",
-    "]<]video[>[",
-    "]<]start of speech[>[",
-    "]<]end of speech[>[",
-    "]<]start of image[>[",
-    "]<]end of image[>[",
-    "]<]start of video[>[",
-    "]<]end of video[>[",
-    "]<]vision pad[>[",
-    "]~!b[",
-    "<issue_closed>",
-    "<issue_comment>",
-    "<issue_start>",
-    "<jupyter_code>",
-    "<jupyter_output>",
-    "<jupyter_start>",
-    "<jupyter_text>",
-    "<reponame>",
-    "[e~[",
-    "]!d~[",
-    "]!p~[",
-    "]~b]",
-    "<jupyter_error>",
-    "<add_file>",
-    "<delete_file>",
-    "<rename_file>",
-    "<edit_file>",
-    "<commit_message>",
-    "<empty_source_file>",
-    "<repo_struct>",
-    "<code_context>",
-    "<file_content>",
-    "<source_files>",
-    "<pr_start>",
-    "<review_comment>",
-    "<filepath>",
-    "<file_sep>"
-  ],
+        "<code_interpreter>",
+        "<commit_after>",
+        "<commit_before>",
+        "<commit_msg>",
+        "<empty_output>",
+        "<filename>",
+        "<fim_middle>",
+        "<fim_pad>",
+        "<fim_prefix>",
+        "<fim_suffix>",
+        "<function_call>",
+        "<gh_stars>",
+        "]<]speech[>[",
+        "]<]image[>[",
+        "]<]video[>[",
+        "]<]start of speech[>[",
+        "]<]end of speech[>[",
+        "]<]start of image[>[",
+        "]<]end of image[>[",
+        "]<]start of video[>[",
+        "]<]end of video[>[",
+        "]<]vision pad[>[",
+        "]~!b[",
+        "<issue_closed>",
+        "<issue_comment>",
+        "<issue_start>",
+        "<jupyter_code>",
+        "<jupyter_output>",
+        "<jupyter_start>",
+        "<jupyter_text>",
+        "<reponame>",
+        "[e~[",
+        "]!d~[",
+        "]!p~[",
+        "]~b]",
+        "<jupyter_error>",
+        "<add_file>",
+        "<delete_file>",
+        "<rename_file>",
+        "<edit_file>",
+        "<commit_message>",
+        "<empty_source_file>",
+        "<repo_struct>",
+        "<code_context>",
+        "<file_content>",
+        "<source_files>",
+        "<pr_start>",
+        "<review_comment>",
+        "<filepath>",
+        "<file_sep>"
+    ],
+  "add_prefix_space": false,
   "bos_token": "]~!b[",
   "clean_up_tokenization_spaces": false,
   "eos_token": "[e~[",
-  "extra_special_tokens": {},
-  "model_max_length": 196608,
-  "pad_token": "<fim_pad>",
-  "padding_side": "left",
+  "model_max_length": 40960000,
   "tokenizer_class": "GPT2Tokenizer",
-  "unk_token": "]!d~[",
-  "chat_template": "{# ----------‑‑‑ special token variables ‑‑‑---------- #}\n{%- set toolcall_begin_token   = '<minimax:tool_call>'         -%}\n{%- set toolcall_end_token     = '</minimax:tool_call>'        -%}\n{#- Tool Rendering Functions ============================================== -#}\n{%- macro render_tool_namespace(namespace_name, tool_list) -%}\n{%- for tool in tool_list -%}\n<tool>{{ tool.function | tojson|string }}</tool>\n{% endfor -%}\n{%- endmacro -%}\n{%- macro visible_text(content) -%}\n    {%- if content is string -%}\n        {{ content }}\n    {%- elif content is iterable and content is not mapping -%}\n        {%- for item in content -%}\n            {%- if item is mapping and item.type == 'text' -%}\n                {{- item.text }}\n            {%- elif item is string -%}\n                {{- item }}\n            {%- endif -%}\n        {%- endfor -%}\n    {%- else -%}\n        {{- content }}\n    {%- endif -%}\n{%- endmacro -%}\n{#- System Message Construction ============================================ -#}\n{%- macro build_system_message(system_message) -%}\n    {%- if system_message and system_message.content -%}\n        {{- visible_text(system_message.content) }}\n    {%- else -%}\n        {%- if model_identity is not defined -%}\n            {%- set model_identity = \"You are a helpful assistant.\" -%}\n        {%- endif -%}\n        {{- model_identity }}\n    {%- endif -%}\n    \n    {#- Handle current_date -#}\n    {%- if system_message and system_message.current_date -%}\n        {{- '\\n' ~ 'Current date: ' + system_message.current_date }}\n    {%- endif -%}\n    {#- Handle current_location -#}\n    {%- if system_message and system_message.current_location -%}\n        {{- '\\n' ~ 'Current location: ' + system_message.current_location }}\n    {%- endif -%}\n{%- endmacro -%}\n{#- Main Template Logic ================================================= -#}\n{#- Extract system message (only first message if it's system) -#}\n{%- set system_message = none -%}\n{%- set conversation_messages = messages -%}\n{%- if messages and messages[0].role == \"system\" -%}\n    {%- set system_message = messages[0] -%}\n    {%- set conversation_messages = messages[1:] -%}\n{%- endif -%}\n{#- Get the last user message turn, for interleved thinking -#}\n{%- set ns = namespace(last_user_index=-1) %}\n{% for m in conversation_messages %}\n    {%- if m.role == 'user' %}\n        {% set ns.last_user_index = loop.index0 -%}\n    {%- endif %}\n{%- endfor %}\n{#- Render system message -#}\n{{- ']~!b[' ~ ']~b]system' ~ '\\n' }}\n{{- build_system_message(system_message) }}\n{#- Render tools if available -#}\n{%- if tools -%}\n    {{- '\\n\\n' ~ '# Tools' ~ '\\n' ~ 'You may call one or more tools to assist with the user query.\\nHere are the tools available in JSONSchema format:' ~ '\\n' }}\n    {{- '\\n' ~ '<tools>' ~ '\\n' }}\n    {{- render_tool_namespace(\"functions\", tools) }}\n    {{- '</tools>' ~ '\\n\\n' }}\n{{- 'When making tool calls, use XML format to invoke tools and pass parameters:' ~ '\\n' }}\n{{- '\\n' ~ toolcall_begin_token }}\n<invoke name=\"tool-name-1\">\n<parameter name=\"param-key-1\">param-value-1</parameter>\n<parameter name=\"param-key-2\">param-value-2</parameter>\n...\n</invoke>\n{{- '\\n' ~ toolcall_end_token }}\n{%- endif -%}\n{{- '[e~[\\n' }}\n\n{#- Render messages -#}\n{%- set last_tool_call = namespace(name=none) -%}\n{%- for message in conversation_messages -%}\n    {%- if message.role == 'assistant' -%}\n        {#- Only render reasoning_content if no user message follows -#}\n        {{- ']~b]ai' ~ '\\n' }}\n\n        {%- set reasoning_content = '' %}\n        {%- set content = visible_text(message.content) %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].strip('\\n').split('<think>')[-1].strip('\\n') %}\n                {%- set content = content.split('</think>')[-1].strip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if reasoning_content and loop.index0 > ns.last_user_index -%}\n            {{- '<think>' ~ '\\n' ~ reasoning_content ~ '\\n' ~ '</think>' ~ '\\n\\n' }}\n        {%- endif -%}\n        {%- if content -%}\n            {{- content }}\n        {%- endif -%}\n        {%- if message.tool_calls -%}\n            {{- '\\n' ~ toolcall_begin_token ~ '\\n' }}\n\n            {%- for tool_call in message.tool_calls -%}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<invoke name=\"' + tool_call.name + '\">' }}\n                {% set _args = tool_call.arguments %}\n                {%- for k, v in _args.items() %}\n                {{- '<parameter name=\"' + k + '\">' }}\n                {{- v | tojson|string if v is not string else v }}\n                {{- '</parameter>' }}\n                {% endfor %}\n                {{- '</invoke>' ~ '\\n' }}\n            {%- endfor -%}\n            \n            {{- toolcall_end_token}}\n            {%- set last_tool_call.name = message.tool_calls[-1].name -%}\n        {%- else -%}\n            {%- set last_tool_call.name = none -%}\n        {%- endif -%}\n        {{- '[e~[' ~ '\\n' }}\n        \n    {%- elif message.role == 'tool' -%}\n    {%- if last_tool_call.name is none -%}\n        {{- raise_exception(\"Message has tool role, but there was no previous assistant message with a tool call!\") }}\n    {%- endif -%}\n    {%- if loop.first or (conversation_messages[loop.index0 - 1].role != 'tool') -%}\n        {{- ']~b]tool' }}\n    {%- endif -%}\n    {%- if message.content is string -%}\n        {{- '\\n<response>' }}\n        {{- message.content }}\n        {{- '</response>' }}\n    {%- else -%}\n        {%- for tr in message.content -%}\n            {{- '\\n<response>' }}\n            {{- tr.output if tr.output is defined else (tr.text if tr.type == 'text' and tr.text is defined else tr) }}\n            {{- '\\n</response>' }}\n        {%- endfor -%}\n    {%- endif -%}\n    {%- if loop.last or (conversation_messages[loop.index0 + 1].role != 'tool') -%}\n        {{- '[e~[\\n' -}}\n    {%- endif -%}\n        \n    {%- elif message.role == 'user' -%}\n        {{- ']~b]user' ~ '\\n' }}\n        {{- visible_text(message.content) }}\n        {{- '[e~[' ~ '\\n' }}\n    {%- endif -%}\n{%- endfor -%}\n\n{#- Generation prompt -#}\n{%- if add_generation_prompt -%}\n{{- ']~b]ai' ~ '\\n' ~ '<think>' ~ '\\n' }}\n{%- endif -%}\n"
-}
+  "unk_token": "]!d~["
+}