Text Generation
Transformers
Safetensors
qwen3_5_text
dense
coding
agentic
unimodal
repackaged
conversational
Instructions to use Jaidchen/Focus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jaidchen/Focus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Jaidchen/Focus") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Jaidchen/Focus") model = AutoModelForCausalLM.from_pretrained("Jaidchen/Focus") messages = [ {"role": "user", "content": "Who are you?"}, ] 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=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Jaidchen/Focus with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Jaidchen/Focus" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Jaidchen/Focus", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Jaidchen/Focus
- SGLang
How to use Jaidchen/Focus with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Jaidchen/Focus" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Jaidchen/Focus", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Jaidchen/Focus" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Jaidchen/Focus", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Jaidchen/Focus with Docker Model Runner:
docker model run hf.co/Jaidchen/Focus
Compressed remaining JSON files
Browse files- config.json +1 -116
- configuration.json +1 -5
- generation_config.json +1 -10
- tokenizer.json +2 -2
- tokenizer_config.json +1 -306
config.json
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{
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"attention_bias": false,
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"attention_dropout": 0,
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"attn_output_gate": true,
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"bos_token_id": 248044,
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"dtype": "bfloat16",
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"eos_token_id": 248044,
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"full_attention_interval": 4,
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"head_dim": 256,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 17408,
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"layer_types": [
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],
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"linear_conv_kernel_dim": 4,
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"linear_key_head_dim": 128,
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"linear_num_key_heads": 16,
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"linear_num_value_heads": 48,
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"linear_value_head_dim": 128,
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"mamba_ssm_dtype": "float32",
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"max_position_embeddings": 262144,
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"model_type": "qwen3_5_text",
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"mtp_num_hidden_layers": 1,
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"mtp_use_dedicated_embeddings": false,
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"num_attention_heads": 24,
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"num_hidden_layers": 64,
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"num_key_value_heads": 4,
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"output_gate_type": "swish",
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"pad_token_id": null,
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"partial_rotary_factor": 0.25,
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"rms_norm_eps": 0.000001,
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"rope_parameters": {
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"mrope_interleaved": true,
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"partial_rotary_factor": 0.25,
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"rope_theta": 10000000,
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"rope_type": "default"
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},
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"tie_word_embeddings": false,
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"use_cache": true,
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"vocab_size": 248320,
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"architectures": [
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"Qwen3_5ForCausalLM"
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],
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"transformers_version": "4.57.1"
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}
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{"attention_bias":false,"attention_dropout":0,"attn_output_gate":true,"bos_token_id":248044,"dtype":"bfloat16","eos_token_id":248044,"full_attention_interval":4,"head_dim":256,"hidden_act":"silu","hidden_size":5120,"initializer_range":0.02,"intermediate_size":17408,"layer_types":["linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention","linear_attention","linear_attention","linear_attention","full_attention"],"linear_conv_kernel_dim":4,"linear_key_head_dim":128,"linear_num_key_heads":16,"linear_num_value_heads":48,"linear_value_head_dim":128,"mamba_ssm_dtype":"float32","max_position_embeddings":262144,"model_type":"qwen3_5_text","mtp_num_hidden_layers":1,"mtp_use_dedicated_embeddings":false,"num_attention_heads":24,"num_hidden_layers":64,"num_key_value_heads":4,"output_gate_type":"swish","pad_token_id":null,"partial_rotary_factor":0.25,"rms_norm_eps":0.000001,"rope_parameters":{"mrope_interleaved":true,"mrope_section":[11,11,10],"partial_rotary_factor":0.25,"rope_theta":10000000,"rope_type":"default"},"tie_word_embeddings":false,"use_cache":true,"vocab_size":248320,"architectures":["Qwen3_5ForCausalLM"],"transformers_version":"4.57.1"}
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configuration.json
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{
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"framework": "Pytorch",
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"task": "text-generation"
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{"framework":"Pytorch","task":"text-generation"}
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generation_config.json
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{
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"bos_token_id": 248044,
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"do_sample": false,
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"eos_token_id": [
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"pad_token_id": 248044
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{"bos_token_id":248044,"do_sample":false,"eos_token_id":[248046,248044],"pad_token_id":248044}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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version https://git-lfs.github.com/spec/v1
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oid sha256:8fc3b6de02de5a8e21d3867aba335e2d9a3c2263201f55daaed1feab3541bea4
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size 9088480
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"248060": {
|
| 133 |
-
"content": "<|fim_prefix|>",
|
| 134 |
-
"lstrip": false,
|
| 135 |
-
"normalized": false,
|
| 136 |
-
"rstrip": false,
|
| 137 |
-
"single_word": false,
|
| 138 |
-
"special": false
|
| 139 |
-
},
|
| 140 |
-
"248061": {
|
| 141 |
-
"content": "<|fim_middle|>",
|
| 142 |
-
"lstrip": false,
|
| 143 |
-
"normalized": false,
|
| 144 |
-
"rstrip": false,
|
| 145 |
-
"single_word": false,
|
| 146 |
-
"special": false
|
| 147 |
-
},
|
| 148 |
-
"248062": {
|
| 149 |
-
"content": "<|fim_suffix|>",
|
| 150 |
-
"lstrip": false,
|
| 151 |
-
"normalized": false,
|
| 152 |
-
"rstrip": false,
|
| 153 |
-
"single_word": false,
|
| 154 |
-
"special": false
|
| 155 |
-
},
|
| 156 |
-
"248063": {
|
| 157 |
-
"content": "<|fim_pad|>",
|
| 158 |
-
"lstrip": false,
|
| 159 |
-
"normalized": false,
|
| 160 |
-
"rstrip": false,
|
| 161 |
-
"single_word": false,
|
| 162 |
-
"special": false
|
| 163 |
-
},
|
| 164 |
-
"248064": {
|
| 165 |
-
"content": "<|repo_name|>",
|
| 166 |
-
"lstrip": false,
|
| 167 |
-
"normalized": false,
|
| 168 |
-
"rstrip": false,
|
| 169 |
-
"single_word": false,
|
| 170 |
-
"special": false
|
| 171 |
-
},
|
| 172 |
-
"248065": {
|
| 173 |
-
"content": "<|file_sep|>",
|
| 174 |
-
"lstrip": false,
|
| 175 |
-
"normalized": false,
|
| 176 |
-
"rstrip": false,
|
| 177 |
-
"single_word": false,
|
| 178 |
-
"special": false
|
| 179 |
-
},
|
| 180 |
-
"248066": {
|
| 181 |
-
"content": "<tool_response>",
|
| 182 |
-
"lstrip": false,
|
| 183 |
-
"normalized": false,
|
| 184 |
-
"rstrip": false,
|
| 185 |
-
"single_word": false,
|
| 186 |
-
"special": false
|
| 187 |
-
},
|
| 188 |
-
"248067": {
|
| 189 |
-
"content": "</tool_response>",
|
| 190 |
-
"lstrip": false,
|
| 191 |
-
"normalized": false,
|
| 192 |
-
"rstrip": false,
|
| 193 |
-
"single_word": false,
|
| 194 |
-
"special": false
|
| 195 |
-
},
|
| 196 |
-
"248068": {
|
| 197 |
-
"content": "<think>",
|
| 198 |
-
"lstrip": false,
|
| 199 |
-
"normalized": false,
|
| 200 |
-
"rstrip": false,
|
| 201 |
-
"single_word": false,
|
| 202 |
-
"special": false
|
| 203 |
-
},
|
| 204 |
-
"248069": {
|
| 205 |
-
"content": "</think>",
|
| 206 |
-
"lstrip": false,
|
| 207 |
-
"normalized": false,
|
| 208 |
-
"rstrip": false,
|
| 209 |
-
"single_word": false,
|
| 210 |
-
"special": false
|
| 211 |
-
},
|
| 212 |
-
"248070": {
|
| 213 |
-
"content": "<|audio_start|>",
|
| 214 |
-
"lstrip": false,
|
| 215 |
-
"normalized": false,
|
| 216 |
-
"rstrip": false,
|
| 217 |
-
"single_word": false,
|
| 218 |
-
"special": true
|
| 219 |
-
},
|
| 220 |
-
"248071": {
|
| 221 |
-
"content": "<|audio_end|>",
|
| 222 |
-
"lstrip": false,
|
| 223 |
-
"normalized": false,
|
| 224 |
-
"rstrip": false,
|
| 225 |
-
"single_word": false,
|
| 226 |
-
"special": true
|
| 227 |
-
},
|
| 228 |
-
"248072": {
|
| 229 |
-
"content": "<tts_pad>",
|
| 230 |
-
"lstrip": false,
|
| 231 |
-
"normalized": false,
|
| 232 |
-
"rstrip": false,
|
| 233 |
-
"single_word": false,
|
| 234 |
-
"special": true
|
| 235 |
-
},
|
| 236 |
-
"248073": {
|
| 237 |
-
"content": "<tts_text_bos>",
|
| 238 |
-
"lstrip": false,
|
| 239 |
-
"normalized": false,
|
| 240 |
-
"rstrip": false,
|
| 241 |
-
"single_word": false,
|
| 242 |
-
"special": true
|
| 243 |
-
},
|
| 244 |
-
"248074": {
|
| 245 |
-
"content": "<tts_text_eod>",
|
| 246 |
-
"lstrip": false,
|
| 247 |
-
"normalized": false,
|
| 248 |
-
"rstrip": false,
|
| 249 |
-
"single_word": false,
|
| 250 |
-
"special": true
|
| 251 |
-
},
|
| 252 |
-
"248075": {
|
| 253 |
-
"content": "<tts_text_bos_single>",
|
| 254 |
-
"lstrip": false,
|
| 255 |
-
"normalized": false,
|
| 256 |
-
"rstrip": false,
|
| 257 |
-
"single_word": false,
|
| 258 |
-
"special": true
|
| 259 |
-
},
|
| 260 |
-
"248076": {
|
| 261 |
-
"content": "<|audio_pad|>",
|
| 262 |
-
"lstrip": false,
|
| 263 |
-
"normalized": false,
|
| 264 |
-
"rstrip": false,
|
| 265 |
-
"single_word": false,
|
| 266 |
-
"special": true
|
| 267 |
-
}
|
| 268 |
-
},
|
| 269 |
-
"additional_special_tokens": [
|
| 270 |
-
"<|im_start|>",
|
| 271 |
-
"<|im_end|>",
|
| 272 |
-
"<|object_ref_start|>",
|
| 273 |
-
"<|object_ref_end|>",
|
| 274 |
-
"<|box_start|>",
|
| 275 |
-
"<|box_end|>",
|
| 276 |
-
"<|quad_start|>",
|
| 277 |
-
"<|quad_end|>",
|
| 278 |
-
"<|vision_start|>",
|
| 279 |
-
"<|vision_end|>",
|
| 280 |
-
"<|vision_pad|>",
|
| 281 |
-
"<|image_pad|>",
|
| 282 |
-
"<|video_pad|>"
|
| 283 |
-
],
|
| 284 |
-
"bos_token": null,
|
| 285 |
-
"chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- set num_sys = 0 %}\n{%- set merged_system = '' %}\n{%- if messages[0].role == 'system' or messages[0].role == 'developer' %}\n {%- set first = render_content(messages[0].content, false, true)|trim %}\n {%- if messages|length > 1 and (messages[1].role == 'system' or messages[1].role == 'developer') %}\n {%- set second = render_content(messages[1].content, false, true)|trim %}\n {%- set merged_system = first + '\\n' + second %}\n {%- set num_sys = 2 %}\n {%- else %}\n {%- set merged_system = first %}\n {%- set num_sys = 1 %}\n {%- endif %}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n {%- if merged_system %}\n {{- '\\n\\n' + merged_system }}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if merged_system %}\n {{- '<|im_start|>system\\n' + merged_system + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if loop.index0 >= num_sys and message.role != \"system\" and message.role != \"developer\" %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_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].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\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 {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is mapping %}\n {%- for args_name in tool_call.arguments %}\n {%- set args_value = tool_call.arguments[args_name] %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}\n{#- Unsloth fixes - developer role, tool calling #}",
|
| 286 |
-
"clean_up_tokenization_spaces": false,
|
| 287 |
-
"eos_token": "<|im_end|>",
|
| 288 |
-
"errors": "replace",
|
| 289 |
-
"model_max_length": 262144,
|
| 290 |
-
"pad_token": "<|endoftext|>",
|
| 291 |
-
"split_special_tokens": false,
|
| 292 |
-
"tokenizer_class": "Qwen2Tokenizer",
|
| 293 |
-
"unk_token": null,
|
| 294 |
-
"add_bos_token": false,
|
| 295 |
-
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 296 |
-
"extra_special_tokens": {
|
| 297 |
-
"audio_bos_token": "<|audio_start|>",
|
| 298 |
-
"audio_eos_token": "<|audio_end|>",
|
| 299 |
-
"audio_token": "<|audio_pad|>",
|
| 300 |
-
"image_token": "<|image_pad|>",
|
| 301 |
-
"video_token": "<|video_pad|>",
|
| 302 |
-
"vision_bos_token": "<|vision_start|>",
|
| 303 |
-
"vision_eos_token": "<|vision_end|>"
|
| 304 |
-
}
|
| 305 |
-
}
|
| 306 |
-
|
|
|
|
| 1 |
+
{"add_prefix_space":false,"added_tokens_decoder":{"248044":{"content":"<|endoftext|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248045":{"content":"<|im_start|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248046":{"content":"<|im_end|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248047":{"content":"<|object_ref_start|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248048":{"content":"<|object_ref_end|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248049":{"content":"<|box_start|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248050":{"content":"<|box_end|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248051":{"content":"<|quad_start|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248052":{"content":"<|quad_end|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248053":{"content":"<|vision_start|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248054":{"content":"<|vision_end|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248055":{"content":"<|vision_pad|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248056":{"content":"<|image_pad|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248057":{"content":"<|video_pad|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248058":{"content":"<tool_call>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248059":{"content":"</tool_call>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248060":{"content":"<|fim_prefix|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248061":{"content":"<|fim_middle|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248062":{"content":"<|fim_suffix|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248063":{"content":"<|fim_pad|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248064":{"content":"<|repo_name|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248065":{"content":"<|file_sep|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248066":{"content":"<tool_response>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248067":{"content":"</tool_response>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248068":{"content":"<think>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248069":{"content":"</think>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":false},"248070":{"content":"<|audio_start|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248071":{"content":"<|audio_end|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248072":{"content":"<tts_pad>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248073":{"content":"<tts_text_bos>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248074":{"content":"<tts_text_eod>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248075":{"content":"<tts_text_bos_single>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true},"248076":{"content":"<|audio_pad|>","lstrip":false,"normalized":false,"rstrip":false,"single_word":false,"special":true}},"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":"{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- set num_sys = 0 %}\n{%- set merged_system = '' %}\n{%- if messages[0].role == 'system' or messages[0].role == 'developer' %}\n {%- set first = render_content(messages[0].content, false, true)|trim %}\n {%- if messages|length > 1 and (messages[1].role == 'system' or messages[1].role == 'developer') %}\n {%- set second = render_content(messages[1].content, false, true)|trim %}\n {%- set merged_system = first + '\\n' + second %}\n {%- set num_sys = 2 %}\n {%- else %}\n {%- set merged_system = first %}\n {%- set num_sys = 1 %}\n {%- endif %}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n {%- if merged_system %}\n {{- '\\n\\n' + merged_system }}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if merged_system %}\n {{- '<|im_start|>system\\n' + merged_system + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if loop.index0 >= num_sys and message.role != \"system\" and message.role != \"developer\" %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_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].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\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 {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is mapping %}\n {%- for args_name in tool_call.arguments %}\n {%- set args_value = tool_call.arguments[args_name] %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}\n{#- Unsloth fixes - developer role, tool calling #}","clean_up_tokenization_spaces":false,"eos_token":"<|im_end|>","errors":"replace","model_max_length":262144,"pad_token":"<|endoftext|>","split_special_tokens":false,"tokenizer_class":"Qwen2Tokenizer","unk_token":null,"add_bos_token":false,"pretokenize_regex":"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+","extra_special_tokens":{"audio_bos_token":"<|audio_start|>","audio_eos_token":"<|audio_end|>","audio_token":"<|audio_pad|>","image_token":"<|image_pad|>","video_token":"<|video_pad|>","vision_bos_token":"<|vision_start|>","vision_eos_token":"<|vision_end|>"}}
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