Instructions to use gustajunq/lumen-qwen-3.5-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gustajunq/lumen-qwen-3.5-2B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B") model = PeftModel.from_pretrained(base_model, "gustajunq/lumen-qwen-3.5-2B") - Transformers
How to use gustajunq/lumen-qwen-3.5-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="gustajunq/lumen-qwen-3.5-2B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gustajunq/lumen-qwen-3.5-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use gustajunq/lumen-qwen-3.5-2B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "gustajunq/lumen-qwen-3.5-2B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "gustajunq/lumen-qwen-3.5-2B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/gustajunq/lumen-qwen-3.5-2B
- SGLang
How to use gustajunq/lumen-qwen-3.5-2B 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 "gustajunq/lumen-qwen-3.5-2B" \ --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": "gustajunq/lumen-qwen-3.5-2B", "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 "gustajunq/lumen-qwen-3.5-2B" \ --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": "gustajunq/lumen-qwen-3.5-2B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Desktop
- Docker Model Runner
How to use gustajunq/lumen-qwen-3.5-2B with Docker Model Runner:
docker model run hf.co/gustajunq/lumen-qwen-3.5-2B
Update adapter weights - SFT v2
Browse files- README.md +4 -4
- adapter_config.json +3 -8
- adapter_model.safetensors +2 -2
- chat_template.jinja +25 -21
- checkpoint-300/README.md +210 -0
- checkpoint-300/adapter_config.json +47 -0
- checkpoint-300/adapter_model.safetensors +3 -0
- checkpoint-300/chat_template.jinja +158 -0
- checkpoint-300/optimizer.pt +3 -0
- checkpoint-300/processor_config.json +63 -0
- checkpoint-300/rng_state.pth +3 -0
- checkpoint-300/scheduler.pt +3 -0
- checkpoint-300/tokenizer.json +3 -0
- checkpoint-300/tokenizer_config.json +299 -0
- checkpoint-300/trainer_state.json +244 -0
- checkpoint-300/training_args.bin +3 -0
- processor_config.json +3 -0
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
README.md
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---
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-
base_model:
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library_name: peft
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model_name: lumen-qwen-3.5
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tags:
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- base_model:adapter:
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- lora
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- sft
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- transformers
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# Model Card for lumen-qwen-3.5
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This model is a fine-tuned version of [
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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- PEFT 0.19.1
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- TRL: 0.24.0
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- Transformers: 5.5.0
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-
- Pytorch: 2.
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- Datasets: 4.3.0
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- Tokenizers: 0.22.2
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---
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base_model: unsloth/Qwen3.5-2B
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library_name: peft
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model_name: lumen-qwen-3.5
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tags:
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- base_model:adapter:unsloth/Qwen3.5-2B
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- lora
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- sft
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- transformers
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# Model Card for lumen-qwen-3.5
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This model is a fine-tuned version of [unsloth/Qwen3.5-2B](https://huggingface.co/unsloth/Qwen3.5-2B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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- PEFT 0.19.1
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- TRL: 0.24.0
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- Transformers: 5.5.0
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+
- Pytorch: 2.10.0
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- Datasets: 4.3.0
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- Tokenizers: 0.22.2
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adapter_config.json
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"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5",
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"unsloth_fixed": true
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},
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"base_model_name_or_path": "
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha":
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"lora_bias": false,
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"lora_dropout": 0,
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"lora_ga_config": null,
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"peft_type": "LORA",
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"peft_version": "0.19.1",
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"qalora_group_size": 16,
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"target_parameters": null,
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"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5",
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"unsloth_fixed": true
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},
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"base_model_name_or_path": "unsloth/Qwen3.5-2B",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0,
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"lora_ga_config": null,
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"peft_type": "LORA",
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"peft_version": "0.19.1",
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"qalora_group_size": 16,
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"target_parameters": null,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a20f68744eb2b7742e0e843c29142f4b731e596017364467e7bd62fc6ac36cb
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size 1674688
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chat_template.jinja
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{%- if not messages %}
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{{- raise_exception('No messages provided.') }}
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{%- endif %}
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{%- if tools and tools is iterable and tools is not mapping %}
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{{- '<|im_start|>system\n' }}
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{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
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{%- endfor %}
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{{- "\n</tools>" }}
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{{- '\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>' }}
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{%- if
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{
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{%- if content %}
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{{- '\n\n' + content }}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- else %}
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{%- if
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{
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{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if ns.multi_step_tool %}
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{{- raise_exception('No user query found in messages.') }}
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{%- endif %}
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{%- for message in messages %}
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{%- set content = render_content(message.content, true)|trim %}
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{%- if message.role == "
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{%- if not loop.first %}
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{{- raise_exception('System message must be at the beginning.') }}
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{%- endif %}
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{%- elif message.role == "user" %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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@@ -116,8 +119,9 @@
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{%- else %}
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{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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{%- endif %}
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-
{%- if tool_call.arguments is
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{%- for args_name
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{{- '<parameter=' + args_name + '>\n' }}
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{%- 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 %}
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{{- args_value }}
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@@ -140,8 +144,7 @@
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{%- elif loop.last %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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-
{%-
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{{- raise_exception('Unexpected message role.') }}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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@@ -151,4 +154,5 @@
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{%- else %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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-
{%- endif %}
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{%- if not messages %}
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{{- raise_exception('No messages provided.') }}
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{%- endif %}
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+
{%- set num_sys = 0 %}
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+
{%- set merged_system = '' %}
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+
{%- if messages[0].role == 'system' or messages[0].role == 'developer' %}
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+
{%- set first = render_content(messages[0].content, false, true)|trim %}
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+
{%- if messages|length > 1 and (messages[1].role == 'system' or messages[1].role == 'developer') %}
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+
{%- set second = render_content(messages[1].content, false, true)|trim %}
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+
{%- set merged_system = first + '\n' + second %}
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+
{%- set num_sys = 2 %}
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{%- else %}
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{%- set merged_system = first %}
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+
{%- set num_sys = 1 %}
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+
{%- endif %}
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+
{%- endif %}
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{%- if tools and tools is iterable and tools is not mapping %}
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| 59 |
{{- '<|im_start|>system\n' }}
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{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
|
|
|
| 64 |
{%- endfor %}
|
| 65 |
{{- "\n</tools>" }}
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{{- '\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>' }}
|
| 67 |
+
{%- if merged_system %}
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| 68 |
+
{{- '\n\n' + merged_system }}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- else %}
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+
{%- if merged_system %}
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+
{{- '<|im_start|>system\n' + merged_system + '<|im_end|>\n' }}
|
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|
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{%- endif %}
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{%- endif %}
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| 76 |
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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+
{%- if loop.index0 >= num_sys and message.role != "system" and message.role != "developer" %}
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| 89 |
{%- set content = render_content(message.content, true)|trim %}
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+
{%- if message.role == "user" %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
|
|
|
|
| 119 |
{%- else %}
|
| 120 |
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 121 |
{%- endif %}
|
| 122 |
+
{%- if tool_call.arguments is mapping %}
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| 123 |
+
{%- for args_name in tool_call.arguments %}
|
| 124 |
+
{%- set args_value = tool_call.arguments[args_name] %}
|
| 125 |
{{- '<parameter=' + args_name + '>\n' }}
|
| 126 |
{%- 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 %}
|
| 127 |
{{- args_value }}
|
|
|
|
| 144 |
{%- elif loop.last %}
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{{- '<|im_end|>\n' }}
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| 146 |
{%- endif %}
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| 147 |
+
{%- endif %}
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| 148 |
{%- endif %}
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| 149 |
{%- endfor %}
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| 150 |
{%- if add_generation_prompt %}
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|
|
| 154 |
{%- else %}
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| 155 |
{{- '<think>\n\n</think>\n\n' }}
|
| 156 |
{%- endif %}
|
| 157 |
+
{%- endif %}
|
| 158 |
+
{#- Unsloth fixes - developer role, tool calling #}
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checkpoint-300/README.md
ADDED
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|
|
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|
|
|
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|
|
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|
|
|
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|
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|
|
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|
|
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|
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|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/Qwen3.5-2B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/Qwen3.5-2B
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
- unsloth
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.19.1
|
checkpoint-300/adapter_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "Qwen3_5ForConditionalGeneration",
|
| 7 |
+
"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/Qwen3.5-2B",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 16,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"peft_type": "LORA",
|
| 31 |
+
"peft_version": "0.19.1",
|
| 32 |
+
"qalora_group_size": 16,
|
| 33 |
+
"r": 8,
|
| 34 |
+
"rank_pattern": {},
|
| 35 |
+
"revision": null,
|
| 36 |
+
"target_modules": [
|
| 37 |
+
"v_proj",
|
| 38 |
+
"q_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_bdlora": null,
|
| 44 |
+
"use_dora": false,
|
| 45 |
+
"use_qalora": false,
|
| 46 |
+
"use_rslora": false
|
| 47 |
+
}
|
checkpoint-300/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a20f68744eb2b7742e0e843c29142f4b731e596017364467e7bd62fc6ac36cb
|
| 3 |
+
size 1674688
|
checkpoint-300/chat_template.jinja
ADDED
|
@@ -0,0 +1,158 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
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|
|
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|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- set num_sys = 0 %}
|
| 46 |
+
{%- set merged_system = '' %}
|
| 47 |
+
{%- if messages[0].role == 'system' or messages[0].role == 'developer' %}
|
| 48 |
+
{%- set first = render_content(messages[0].content, false, true)|trim %}
|
| 49 |
+
{%- if messages|length > 1 and (messages[1].role == 'system' or messages[1].role == 'developer') %}
|
| 50 |
+
{%- set second = render_content(messages[1].content, false, true)|trim %}
|
| 51 |
+
{%- set merged_system = first + '\n' + second %}
|
| 52 |
+
{%- set num_sys = 2 %}
|
| 53 |
+
{%- else %}
|
| 54 |
+
{%- set merged_system = first %}
|
| 55 |
+
{%- set num_sys = 1 %}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 59 |
+
{{- '<|im_start|>system\n' }}
|
| 60 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 61 |
+
{%- for tool in tools %}
|
| 62 |
+
{{- "\n" }}
|
| 63 |
+
{{- tool | tojson }}
|
| 64 |
+
{%- endfor %}
|
| 65 |
+
{{- "\n</tools>" }}
|
| 66 |
+
{{- '\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>' }}
|
| 67 |
+
{%- if merged_system %}
|
| 68 |
+
{{- '\n\n' + merged_system }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{{- '<|im_end|>\n' }}
|
| 71 |
+
{%- else %}
|
| 72 |
+
{%- if merged_system %}
|
| 73 |
+
{{- '<|im_start|>system\n' + merged_system + '<|im_end|>\n' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 77 |
+
{%- for message in messages[::-1] %}
|
| 78 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 79 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 80 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 81 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 82 |
+
{%- set ns.multi_step_tool = false %}
|
| 83 |
+
{%- set ns.last_query_index = index %}
|
| 84 |
+
{%- endif %}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{%- endfor %}
|
| 87 |
+
{%- for message in messages %}
|
| 88 |
+
{%- if loop.index0 >= num_sys and message.role != "system" and message.role != "developer" %}
|
| 89 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 90 |
+
{%- if message.role == "user" %}
|
| 91 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 92 |
+
{%- elif message.role == "assistant" %}
|
| 93 |
+
{%- set reasoning_content = '' %}
|
| 94 |
+
{%- if message.reasoning_content is string %}
|
| 95 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 96 |
+
{%- else %}
|
| 97 |
+
{%- if '</think>' in content %}
|
| 98 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 99 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 100 |
+
{%- endif %}
|
| 101 |
+
{%- endif %}
|
| 102 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 103 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 104 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 105 |
+
{%- else %}
|
| 106 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 107 |
+
{%- endif %}
|
| 108 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 109 |
+
{%- for tool_call in message.tool_calls %}
|
| 110 |
+
{%- if tool_call.function is defined %}
|
| 111 |
+
{%- set tool_call = tool_call.function %}
|
| 112 |
+
{%- endif %}
|
| 113 |
+
{%- if loop.first %}
|
| 114 |
+
{%- if content|trim %}
|
| 115 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- else %}
|
| 120 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 121 |
+
{%- endif %}
|
| 122 |
+
{%- if tool_call.arguments is mapping %}
|
| 123 |
+
{%- for args_name in tool_call.arguments %}
|
| 124 |
+
{%- set args_value = tool_call.arguments[args_name] %}
|
| 125 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 126 |
+
{%- 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 %}
|
| 127 |
+
{{- args_value }}
|
| 128 |
+
{{- '\n</parameter>\n' }}
|
| 129 |
+
{%- endfor %}
|
| 130 |
+
{%- endif %}
|
| 131 |
+
{{- '</function>\n</tool_call>' }}
|
| 132 |
+
{%- endfor %}
|
| 133 |
+
{%- endif %}
|
| 134 |
+
{{- '<|im_end|>\n' }}
|
| 135 |
+
{%- elif message.role == "tool" %}
|
| 136 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 137 |
+
{{- '<|im_start|>user' }}
|
| 138 |
+
{%- endif %}
|
| 139 |
+
{{- '\n<tool_response>\n' }}
|
| 140 |
+
{{- content }}
|
| 141 |
+
{{- '\n</tool_response>' }}
|
| 142 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 143 |
+
{{- '<|im_end|>\n' }}
|
| 144 |
+
{%- elif loop.last %}
|
| 145 |
+
{{- '<|im_end|>\n' }}
|
| 146 |
+
{%- endif %}
|
| 147 |
+
{%- endif %}
|
| 148 |
+
{%- endif %}
|
| 149 |
+
{%- endfor %}
|
| 150 |
+
{%- if add_generation_prompt %}
|
| 151 |
+
{{- '<|im_start|>assistant\n' }}
|
| 152 |
+
{%- if enable_thinking is defined and enable_thinking is true %}
|
| 153 |
+
{{- '<think>\n' }}
|
| 154 |
+
{%- else %}
|
| 155 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 156 |
+
{%- endif %}
|
| 157 |
+
{%- endif %}
|
| 158 |
+
{#- Unsloth fixes - developer role, tool calling #}
|
checkpoint-300/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2ec3162744f56158d1679b75f5cb231417dcb2fd309698147fbbd1d16ab90ac
|
| 3 |
+
size 880205
|
checkpoint-300/processor_config.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"do_convert_rgb": true,
|
| 5 |
+
"do_normalize": true,
|
| 6 |
+
"do_rescale": true,
|
| 7 |
+
"do_resize": true,
|
| 8 |
+
"image_mean": [
|
| 9 |
+
0.5,
|
| 10 |
+
0.5,
|
| 11 |
+
0.5
|
| 12 |
+
],
|
| 13 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"merge_size": 2,
|
| 20 |
+
"patch_size": 16,
|
| 21 |
+
"resample": 3,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"longest_edge": 16777216,
|
| 25 |
+
"shortest_edge": 65536
|
| 26 |
+
},
|
| 27 |
+
"temporal_patch_size": 2
|
| 28 |
+
},
|
| 29 |
+
"processor_class": "Qwen3VLProcessor",
|
| 30 |
+
"video_processor": {
|
| 31 |
+
"data_format": "channels_first",
|
| 32 |
+
"default_to_square": true,
|
| 33 |
+
"do_convert_rgb": true,
|
| 34 |
+
"do_normalize": true,
|
| 35 |
+
"do_rescale": true,
|
| 36 |
+
"do_resize": true,
|
| 37 |
+
"do_sample_frames": true,
|
| 38 |
+
"fps": 2,
|
| 39 |
+
"image_mean": [
|
| 40 |
+
0.5,
|
| 41 |
+
0.5,
|
| 42 |
+
0.5
|
| 43 |
+
],
|
| 44 |
+
"image_std": [
|
| 45 |
+
0.5,
|
| 46 |
+
0.5,
|
| 47 |
+
0.5
|
| 48 |
+
],
|
| 49 |
+
"max_frames": 768,
|
| 50 |
+
"merge_size": 2,
|
| 51 |
+
"min_frames": 4,
|
| 52 |
+
"patch_size": 16,
|
| 53 |
+
"resample": 3,
|
| 54 |
+
"rescale_factor": 0.00392156862745098,
|
| 55 |
+
"return_metadata": false,
|
| 56 |
+
"size": {
|
| 57 |
+
"longest_edge": 25165824,
|
| 58 |
+
"shortest_edge": 4096
|
| 59 |
+
},
|
| 60 |
+
"temporal_patch_size": 2,
|
| 61 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 62 |
+
}
|
| 63 |
+
}
|
checkpoint-300/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d6d8fafcd1ee268414be5acf0366296af5b03d60871978712eac1979cb42d65
|
| 3 |
+
size 14645
|
checkpoint-300/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d15d3d1b8bb19162d239033d431d77f4eba28beb04ec2c0ba04b41fbc223a133
|
| 3 |
+
size 1465
|
checkpoint-300/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
+
size 19989343
|
checkpoint-300/tokenizer_config.json
ADDED
|
@@ -0,0 +1,299 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": false,
|
| 13 |
+
"model_max_length": 262144,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|vision_pad|>",
|
| 24 |
+
"padding_side": "right",
|
| 25 |
+
"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+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "TokenizersBackend",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>",
|
| 33 |
+
"added_tokens_decoder": {
|
| 34 |
+
"248044": {
|
| 35 |
+
"content": "<|endoftext|>",
|
| 36 |
+
"single_word": false,
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"rstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"special": true
|
| 41 |
+
},
|
| 42 |
+
"248045": {
|
| 43 |
+
"content": "<|im_start|>",
|
| 44 |
+
"single_word": false,
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"rstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"special": true
|
| 49 |
+
},
|
| 50 |
+
"248046": {
|
| 51 |
+
"content": "<|im_end|>",
|
| 52 |
+
"single_word": false,
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"rstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"special": true
|
| 57 |
+
},
|
| 58 |
+
"248047": {
|
| 59 |
+
"content": "<|object_ref_start|>",
|
| 60 |
+
"single_word": false,
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"rstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"special": true
|
| 65 |
+
},
|
| 66 |
+
"248048": {
|
| 67 |
+
"content": "<|object_ref_end|>",
|
| 68 |
+
"single_word": false,
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"rstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"special": true
|
| 73 |
+
},
|
| 74 |
+
"248049": {
|
| 75 |
+
"content": "<|box_start|>",
|
| 76 |
+
"single_word": false,
|
| 77 |
+
"lstrip": false,
|
| 78 |
+
"rstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"special": true
|
| 81 |
+
},
|
| 82 |
+
"248050": {
|
| 83 |
+
"content": "<|box_end|>",
|
| 84 |
+
"single_word": false,
|
| 85 |
+
"lstrip": false,
|
| 86 |
+
"rstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"special": true
|
| 89 |
+
},
|
| 90 |
+
"248051": {
|
| 91 |
+
"content": "<|quad_start|>",
|
| 92 |
+
"single_word": false,
|
| 93 |
+
"lstrip": false,
|
| 94 |
+
"rstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"special": true
|
| 97 |
+
},
|
| 98 |
+
"248052": {
|
| 99 |
+
"content": "<|quad_end|>",
|
| 100 |
+
"single_word": false,
|
| 101 |
+
"lstrip": false,
|
| 102 |
+
"rstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"special": true
|
| 105 |
+
},
|
| 106 |
+
"248053": {
|
| 107 |
+
"content": "<|vision_start|>",
|
| 108 |
+
"single_word": false,
|
| 109 |
+
"lstrip": false,
|
| 110 |
+
"rstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"special": true
|
| 113 |
+
},
|
| 114 |
+
"248054": {
|
| 115 |
+
"content": "<|vision_end|>",
|
| 116 |
+
"single_word": false,
|
| 117 |
+
"lstrip": false,
|
| 118 |
+
"rstrip": false,
|
| 119 |
+
"normalized": false,
|
| 120 |
+
"special": true
|
| 121 |
+
},
|
| 122 |
+
"248055": {
|
| 123 |
+
"content": "<|vision_pad|>",
|
| 124 |
+
"single_word": false,
|
| 125 |
+
"lstrip": false,
|
| 126 |
+
"rstrip": false,
|
| 127 |
+
"normalized": false,
|
| 128 |
+
"special": true
|
| 129 |
+
},
|
| 130 |
+
"248056": {
|
| 131 |
+
"content": "<|image_pad|>",
|
| 132 |
+
"single_word": false,
|
| 133 |
+
"lstrip": false,
|
| 134 |
+
"rstrip": false,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"special": true
|
| 137 |
+
},
|
| 138 |
+
"248057": {
|
| 139 |
+
"content": "<|video_pad|>",
|
| 140 |
+
"single_word": false,
|
| 141 |
+
"lstrip": false,
|
| 142 |
+
"rstrip": false,
|
| 143 |
+
"normalized": false,
|
| 144 |
+
"special": true
|
| 145 |
+
},
|
| 146 |
+
"248058": {
|
| 147 |
+
"content": "<tool_call>",
|
| 148 |
+
"single_word": false,
|
| 149 |
+
"lstrip": false,
|
| 150 |
+
"rstrip": false,
|
| 151 |
+
"normalized": false,
|
| 152 |
+
"special": false
|
| 153 |
+
},
|
| 154 |
+
"248059": {
|
| 155 |
+
"content": "</tool_call>",
|
| 156 |
+
"single_word": false,
|
| 157 |
+
"lstrip": false,
|
| 158 |
+
"rstrip": false,
|
| 159 |
+
"normalized": false,
|
| 160 |
+
"special": false
|
| 161 |
+
},
|
| 162 |
+
"248060": {
|
| 163 |
+
"content": "<|fim_prefix|>",
|
| 164 |
+
"single_word": false,
|
| 165 |
+
"lstrip": false,
|
| 166 |
+
"rstrip": false,
|
| 167 |
+
"normalized": false,
|
| 168 |
+
"special": false
|
| 169 |
+
},
|
| 170 |
+
"248061": {
|
| 171 |
+
"content": "<|fim_middle|>",
|
| 172 |
+
"single_word": false,
|
| 173 |
+
"lstrip": false,
|
| 174 |
+
"rstrip": false,
|
| 175 |
+
"normalized": false,
|
| 176 |
+
"special": false
|
| 177 |
+
},
|
| 178 |
+
"248062": {
|
| 179 |
+
"content": "<|fim_suffix|>",
|
| 180 |
+
"single_word": false,
|
| 181 |
+
"lstrip": false,
|
| 182 |
+
"rstrip": false,
|
| 183 |
+
"normalized": false,
|
| 184 |
+
"special": false
|
| 185 |
+
},
|
| 186 |
+
"248063": {
|
| 187 |
+
"content": "<|fim_pad|>",
|
| 188 |
+
"single_word": false,
|
| 189 |
+
"lstrip": false,
|
| 190 |
+
"rstrip": false,
|
| 191 |
+
"normalized": false,
|
| 192 |
+
"special": false
|
| 193 |
+
},
|
| 194 |
+
"248064": {
|
| 195 |
+
"content": "<|repo_name|>",
|
| 196 |
+
"single_word": false,
|
| 197 |
+
"lstrip": false,
|
| 198 |
+
"rstrip": false,
|
| 199 |
+
"normalized": false,
|
| 200 |
+
"special": false
|
| 201 |
+
},
|
| 202 |
+
"248065": {
|
| 203 |
+
"content": "<|file_sep|>",
|
| 204 |
+
"single_word": false,
|
| 205 |
+
"lstrip": false,
|
| 206 |
+
"rstrip": false,
|
| 207 |
+
"normalized": false,
|
| 208 |
+
"special": false
|
| 209 |
+
},
|
| 210 |
+
"248066": {
|
| 211 |
+
"content": "<tool_response>",
|
| 212 |
+
"single_word": false,
|
| 213 |
+
"lstrip": false,
|
| 214 |
+
"rstrip": false,
|
| 215 |
+
"normalized": false,
|
| 216 |
+
"special": false
|
| 217 |
+
},
|
| 218 |
+
"248067": {
|
| 219 |
+
"content": "</tool_response>",
|
| 220 |
+
"single_word": false,
|
| 221 |
+
"lstrip": false,
|
| 222 |
+
"rstrip": false,
|
| 223 |
+
"normalized": false,
|
| 224 |
+
"special": false
|
| 225 |
+
},
|
| 226 |
+
"248068": {
|
| 227 |
+
"content": "<think>",
|
| 228 |
+
"single_word": false,
|
| 229 |
+
"lstrip": false,
|
| 230 |
+
"rstrip": false,
|
| 231 |
+
"normalized": false,
|
| 232 |
+
"special": false
|
| 233 |
+
},
|
| 234 |
+
"248069": {
|
| 235 |
+
"content": "</think>",
|
| 236 |
+
"single_word": false,
|
| 237 |
+
"lstrip": false,
|
| 238 |
+
"rstrip": false,
|
| 239 |
+
"normalized": false,
|
| 240 |
+
"special": false
|
| 241 |
+
},
|
| 242 |
+
"248070": {
|
| 243 |
+
"content": "<|audio_start|>",
|
| 244 |
+
"single_word": false,
|
| 245 |
+
"lstrip": false,
|
| 246 |
+
"rstrip": false,
|
| 247 |
+
"normalized": false,
|
| 248 |
+
"special": true
|
| 249 |
+
},
|
| 250 |
+
"248071": {
|
| 251 |
+
"content": "<|audio_end|>",
|
| 252 |
+
"single_word": false,
|
| 253 |
+
"lstrip": false,
|
| 254 |
+
"rstrip": false,
|
| 255 |
+
"normalized": false,
|
| 256 |
+
"special": true
|
| 257 |
+
},
|
| 258 |
+
"248072": {
|
| 259 |
+
"content": "<tts_pad>",
|
| 260 |
+
"single_word": false,
|
| 261 |
+
"lstrip": false,
|
| 262 |
+
"rstrip": false,
|
| 263 |
+
"normalized": false,
|
| 264 |
+
"special": true
|
| 265 |
+
},
|
| 266 |
+
"248073": {
|
| 267 |
+
"content": "<tts_text_bos>",
|
| 268 |
+
"single_word": false,
|
| 269 |
+
"lstrip": false,
|
| 270 |
+
"rstrip": false,
|
| 271 |
+
"normalized": false,
|
| 272 |
+
"special": true
|
| 273 |
+
},
|
| 274 |
+
"248074": {
|
| 275 |
+
"content": "<tts_text_eod>",
|
| 276 |
+
"single_word": false,
|
| 277 |
+
"lstrip": false,
|
| 278 |
+
"rstrip": false,
|
| 279 |
+
"normalized": false,
|
| 280 |
+
"special": true
|
| 281 |
+
},
|
| 282 |
+
"248075": {
|
| 283 |
+
"content": "<tts_text_bos_single>",
|
| 284 |
+
"single_word": false,
|
| 285 |
+
"lstrip": false,
|
| 286 |
+
"rstrip": false,
|
| 287 |
+
"normalized": false,
|
| 288 |
+
"special": true
|
| 289 |
+
},
|
| 290 |
+
"248076": {
|
| 291 |
+
"content": "<|audio_pad|>",
|
| 292 |
+
"single_word": false,
|
| 293 |
+
"lstrip": false,
|
| 294 |
+
"rstrip": false,
|
| 295 |
+
"normalized": false,
|
| 296 |
+
"special": true
|
| 297 |
+
}
|
| 298 |
+
}
|
| 299 |
+
}
|
checkpoint-300/trainer_state.json
ADDED
|
@@ -0,0 +1,244 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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