Upload folder using huggingface_hub

README.md

@@ -1,78 +1,56 @@
 ---
-base_model:
-- Qwen/Qwen2.5-Coder-32B-Instruct
+base_model: unsloth/qwen2.5-coder-32b-instruct-bnb-4bit
 library_name: peft
-license: cc-by-nc-4.0
-datasets:
-- Jessylg27/DeepThink-Code-Lite
-language:
-- en
-- fr
+model_name: output_model
 tags:
-- code
-- logic
-- reasoning
-- qwen2.5
-- unsloth
+- base_model:adapter:unsloth/qwen2.5-coder-32b-instruct-bnb-4bit
+- lora
 - sft
+- transformers
 - trl
+- unsloth
+licence: license
+pipeline_tag: text-generation
 ---
 
-# Specialized Coding Logic LLM (32B)
-
-This model is a specialized fine-tuned version of [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct).  
-It has been optimized to enhance **logical reasoning** and **code generation capabilities**.
-
-## 🧠 Model Description
+# Model Card for output_model
 
-**Specialized Coding Logic LLM** builds upon the powerful Qwen 2.5 Coder architecture (32B parameters). It has been fine-tuned using the **DeepThink-Code-Lite** dataset to improve its ability to:
-- Solve complex algorithmic problems.
-- Follow multi-step logical instructions.
-- Generate cleaner and more optimized code.
+This model is a fine-tuned version of [unsloth/qwen2.5-coder-32b-instruct-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-coder-32b-instruct-bnb-4bit).
+It has been trained using [TRL](https://github.com/huggingface/trl).
 
-## 📊 Dataset
-
-This model was trained on the custom dataset:  
-👉 **[Jessylg27/DeepThink-Code-Lite](https://huggingface.co/datasets/Jessylg27/DeepThink-Code-Lite)**
-
-## 🚀 Quick Start
-
-You can use this model directly with the Hugging Face `pipeline`.
+## Quick start
 
 ```python
 from transformers import pipeline
 
-# Define the model ID
-model_id = "Jessylg27/specialized-coding-logic-llm"
-
-# Initialize the pipeline
-generator = pipeline("text-generation", model=model_id, device_map="auto")
-
-# Prompt the model
-question = "Write a Python function to solve the Traveling Salesman Problem using dynamic programming."
-output = generator([{"role": "user", "content": question}], max_new_tokens=512, return_full_text=False)[0]
-
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
-
 ```
 
-## 🛠️ Training procedure
+## Training procedure
+
+ 
 
-This model was trained with **SFT (Supervised Fine-Tuning)** using the [TRL library](https://github.com/huggingface/trl) and [Unsloth](https://github.com/unslothai/unsloth) for efficient training.
+
+This model was trained with SFT.
 
 ### Framework versions
 
-* **PEFT:** 0.18.1
-* **TRL:** 0.24.0
-* **Transformers:** 4.57.3
-* **Pytorch:** 2.8.0+cu128
-* **Datasets:** 4.3.0
-* **Tokenizers:** 0.22.2
+- PEFT 0.18.1
+- TRL: 0.23.1
+- Transformers: 4.57.1
+- Pytorch: 2.9.0+cu128
+- Datasets: 4.3.0
+- Tokenizers: 0.22.2
+
+## Citations
 
-## 📜 Citations
 
-If you use this model or the TRL library, please cite:
 
+Cite TRL as:
+    
 ```bibtex
 @misc{vonwerra2022trl,
 	title        = {{TRL: Transformer Reinforcement Learning}},
@@ -80,7 +58,6 @@ If you use this model or the TRL library, please cite:
 	year         = 2020,
 	journal      = {GitHub repository},
 	publisher    = {GitHub},
-	howpublished = {\url{[https://github.com/huggingface/trl](https://github.com/huggingface/trl)}}
+	howpublished = {\url{https://github.com/huggingface/trl}}
 }
-
 ```

adapter_config.json

@@ -33,13 +33,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "o_proj",
     "gate_proj",
+    "o_proj",
     "down_proj",
+    "up_proj",
     "k_proj",
     "v_proj",
-    "up_proj"
+    "q_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d78ad7a4ff610ee2a0bc0d954309434916fb2a93651554cb9444e98d056e64d3
+oid sha256:c3a4f541e1d5d34a5ddd5a9f2fd2668146a75c7f1e099014482e572b8c47f075
 size 536991984

chat_template.jinja

@@ -1,139 +1,53 @@
-{{- bos_token }}
-{%- if custom_tools is defined %}
-    {%- set tools = custom_tools %}
-{%- endif %}
-{%- if not tools_in_user_message is defined %}
-    {%- set tools_in_user_message = true %}
-{%- endif %}
-{%- if not date_string is defined %}
-    {%- set date_string = "26 July 2024" %}
-{%- endif %}
-{%- if not tools is defined %}
-    {%- set tools = none %}
-{%- endif %}
-
-{#- This block extracts the system message, so we can slot it into the right place. #}
-{%- if messages[0]['role'] == 'system' %}
-    {%- set system_message = messages[0]['content'] %}
-    {%- set messages = messages[1:] %}
-{%- else %}
-    {%- set system_message = "" %}
-{%- endif %}
-
-{#- System message + builtin tools #}
-{{- "<|start_header_id|>system<|end_header_id|>
-
-" }}
-{%- if builtin_tools is defined or tools is not none %}
-    {{- "Environment: ipython
-" }}
-{%- endif %}
-{%- if builtin_tools is defined %}
-    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "
-
-"}}
-{%- endif %}
-{{- "Cutting Knowledge Date: December 2023
-" }}
-{{- "Today Date: " + date_string + "
-
-" }}
-{%- if tools is not none and not tools_in_user_message %}
-    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.
-
-" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "
-
-" }}
-    {%- endfor %}
-{%- endif %}
-{{- system_message }}
-{{- "<|eot_id|>" }}
-
-{#- Custom tools are passed in a user message with some extra guidance #}
-{%- if tools_in_user_message and not tools is none %}
-    {#- Extract the first user message so we can plug it in here #}
-    {%- if messages | length != 0 %}
-        {%- set first_user_message = messages[0]['content'] %}
-        {%- set messages = messages[1:] %}
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
     {%- else %}
-        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
-{%- endif %}
-    {{- '<|start_header_id|>user<|end_header_id|>
-
-' -}}
-    {{- "Given the following functions, please respond with a JSON for a function call " }}
-    {{- "with its proper arguments that best answers the given prompt.
-
-" }}
-    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
-    {{- "Do not use variables.
-
-" }}
-    {%- for t in tools %}
-        {{- t | tojson(indent=4) }}
-        {{- "
-
-" }}
+        {{- '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 %}
-    {{- first_user_message + "<|eot_id|>"}}
+    {{- "\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 not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
-        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>
-
-'+ message['content'] + '<|eot_id|>' }}
-    {%- elif 'tool_calls' in message %}
-        {%- if not message.tool_calls|length == 1 %}
-            {{- raise_exception("This model only supports single tool-calls at once!") }}
+    {%- 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 %}
-        {%- set tool_call = message.tool_calls[0].function %}
-        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>
-
-' -}}
-            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
-            {%- for arg_name, arg_val in tool_call.arguments | items %}
-                {{- arg_name + '="' + arg_val + '"' }}
-                {%- if not loop.last %}
-                    {{- ", " }}
-                {%- endif %}
-                {%- endfor %}
-            {{- ")" }}
-        {%- else  %}
-            {{- '<|start_header_id|>assistant<|end_header_id|>
-
-' -}}
-            {{- '{"name": "' + tool_call.name + '", ' }}
-            {{- '"parameters": ' }}
+        {%- 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 }}
-            {{- "}" }}
-        {%- endif %}
-        {%- if builtin_tools is defined %}
-            {#- This means we're in ipython mode #}
-            {{- "<|eom_id|>" }}
-        {%- else %}
-            {{- "<|eot_id|>" }}
+            {{- '}\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 %}
-    {%- elif message.role == "tool" or message.role == "ipython" %}
-        {{- "<|start_header_id|>ipython<|end_header_id|>
-
-" }}
-        {%- if message.content is mapping or message.content is iterable %}
-            {{- message.content | tojson }}
-        {%- else %}
-            {{- message.content }}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
         {%- endif %}
-        {{- "<|eot_id|>" }}
     {%- endif %}
 {%- endfor %}
 {%- if add_generation_prompt %}
-    {{- '<|start_header_id|>assistant<|end_header_id|>
-
-' }}
+    {{- '<|im_start|>assistant\n' }}
 {%- endif %}

config.json

@@ -87,7 +87,7 @@
     "rope_theta": 1000000.0,
     "sliding_window": null,
     "tie_word_embeddings": false,
-    "transformers_version": "4.57.3",
+    "transformers_version": "4.57.1",
     "unsloth_fixed": true,
     "unsloth_version": "2026.1.3",
     "use_cache": true,

model-00001-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:adb7961d556f392969c770d63c425062503f3448f2a5b800ae577cbe3907ea7b
+oid sha256:bde5ead684e85c851ac07cd19a6666e68a6e5a10ce0778e974d54972d759bd2e
 size 4891730992

model-00002-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:304876107b828a36354a318b6660e401e0b60c5e3c0959b558157628a9cab7e9
+oid sha256:818134311a0ba132e44c8c591615c6c39559049c85c1bbc8ff53a149b23bdb4b
 size 4876059352

model-00003-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:141fabd77155b9747fb5961ecfc93e0ec14591b41703a2ea69060f26c01fa8ac
+oid sha256:75786bf85845c87af719d6b7b653b7c3ed627f4782d0c25ec086365a758217b2
 size 4876059384

model-00004-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3745a64bbbeb5011823a768a2ea3ba0feecfb2f21c0a48866978ad515020a34f
+oid sha256:88ecfcfb0b660595c6f2cfc08c9acf7532e084ef1cff33befdc469f2c81c1dba
 size 4876059416

model-00005-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:add239dcff71f899fbc5f0a22aa1745d5954044385ce46cf0ef0bcbf178e68e7
+oid sha256:c30687123d9060d6159b2271df3ffd833be6a738dbf01f32609ebeb6e524a658
 size 4876059416

model-00006-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:92e4c77b2746805647307b26e266a8dfaa4669c486daef5a967ee9a288c26a5b
+oid sha256:a5e266bef1de4aa2aaf6f8a053734d310c14ab909171580d7a66a6289d00f3ab
 size 4876059416

model-00007-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:042d6d35c86794a50be5506fe86ee54a67899f57465fc4a08341cd960420840a
+oid sha256:b9fdc616b259d94c4a104f1f11fa34d03152318794f05f0987abc3b33a8b9a90
 size 4876059416

model-00008-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e28a49305cb327dc8bd53fe5678b26b07d3b824343dcfea119562b20b32d55ff
+oid sha256:41a3a914a0ae955cffae2a43539d7d44d9efebfe1a42eb03aeda5ef08e9d0183
 size 4876059416

model-00009-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:59875cba39959c38385d0018d4e0e093da20783d6ab1e72fffdb439d307e093c
+oid sha256:710ff26625cc64a030058c5a242da3768c9d0e576742811d18db4ba1c7d8c4e8
 size 4876059416

model-00010-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f717edeafc543332c8df42b4ecbe6b15ffc6451a52c4ac7eeda6f8f3d023eb4f
+oid sha256:fbc0fac23b287ed7119189de5757ef3d121422805b3ec7cdcd7cc0bb2eeafb94
 size 4876059416

model-00011-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:190a001b299c0351895cb3892aca196d2fbf06541e1f7cce71fedeb5e403919d
+oid sha256:da3134b380b412c4160512358e6f4dd7e9f88a045e6ccdd4fecbc8962b804285
 size 4876059416

model-00012-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1f019e7ac5e81583113fbff3e77223be0e3dd450e369ad207b7c478ed93eccb6
+oid sha256:107b71f12cacbdcf75057c3658dd839d2b5052b7e38c81748ad5ebe2a52d7719
 size 4876059416

model-00013-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d1957acb85db5457fcd18c0b5d90605d04e68e2704980884fbcfa2d5ff8f64ee
+oid sha256:e39164291d88362be166e79f0cca048c2de337f436de7d73cfb732a25acce6c1
 size 4876059416

model-00014-of-00014.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e01df2a39c9516306b352b7ad68b5a9dd1eed1a5bec5db67fa3a2981d1e630df
+oid sha256:01e90d0a3541794a6fb20eadc65c938fe4624807e5d066000503ff01552d181d
 size 2123397800

tokenizer_config.json

@@ -213,5 +213,5 @@
   "split_special_tokens": false,
   "tokenizer_class": "Qwen2Tokenizer",
   "unk_token": null,
-  "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- set date_string = \"26 July 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content'] %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\n\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n    {{- \"Environment: ipython\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n    {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\n\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\n\" }}\n{{- \"Today Date: \" + date_string + \"\n\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\n\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\n\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content'] %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\n\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\n\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\n\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}\n            {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n            {%- for arg_name, arg_val in tool_call.arguments | items %}\n                {{- arg_name + '=\"' + arg_val + '\"' }}\n                {%- if not loop.last %}\n                    {{- \", \" }}\n                {%- endif %}\n                {%- endfor %}\n            {{- \")\" }}\n        {%- else  %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}\n            {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n            {{- '\"parameters\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- \"}\" }}\n        {%- endif %}\n        {%- if builtin_tools is defined %}\n            {#- This means we're in ipython mode #}\n            {{- \"<|eom_id|>\" }}\n        {%- else %}\n            {{- \"<|eot_id|>\" }}\n        {%- endif %}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\n\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}\n{%- endif %}\n"
+  "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\") %}            {{- '<|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"
 }