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
Delete checkpoint-300
Browse files- checkpoint-300/README.md +0 -210
- checkpoint-300/adapter_config.json +0 -47
- checkpoint-300/adapter_model.safetensors +0 -3
- checkpoint-300/chat_template.jinja +0 -158
- checkpoint-300/optimizer.pt +0 -3
- checkpoint-300/processor_config.json +0 -63
- checkpoint-300/rng_state.pth +0 -3
- checkpoint-300/scheduler.pt +0 -3
- checkpoint-300/tokenizer.json +0 -3
- checkpoint-300/tokenizer_config.json +0 -299
- checkpoint-300/trainer_state.json +0 -244
- checkpoint-300/training_args.bin +0 -3
checkpoint-300/README.md
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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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pipeline_tag: text-generation
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tags:
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---
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# Model Card for Model ID
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## Model Details
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### Model Description
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## Uses
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### Direct Use
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[More Information Needed]
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## Bias, Risks, and Limitations
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### Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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## Training Details
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### Training Data
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### Training Procedure
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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## Evaluation
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### Results
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#### Summary
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## Environmental Impact
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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).
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- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]
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## Citation [optional]
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## Glossary [optional]
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## More Information [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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### Framework versions
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- PEFT 0.19.1
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checkpoint-300/adapter_config.json
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "Qwen3_5ForConditionalGeneration",
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"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5",
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"unsloth_fixed": true
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"base_model_name_or_path": "unsloth/Qwen3.5-2B",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": 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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"megatron_core": "megatron.core",
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"peft_type": "LORA",
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"peft_version": "0.19.1",
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"r": 8,
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"rank_pattern": {},
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"target_modules": [
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],
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"task_type": "CAUSAL_LM",
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checkpoint-300/adapter_model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:4a20f68744eb2b7742e0e843c29142f4b731e596017364467e7bd62fc6ac36cb
|
| 3 |
-
size 1674688
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|
checkpoint-300/chat_template.jinja
DELETED
|
@@ -1,158 +0,0 @@
|
|
| 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 #}
|
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|
checkpoint-300/optimizer.pt
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:b2ec3162744f56158d1679b75f5cb231417dcb2fd309698147fbbd1d16ab90ac
|
| 3 |
-
size 880205
|
|
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|
|
checkpoint-300/processor_config.json
DELETED
|
@@ -1,63 +0,0 @@
|
|
| 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 |
-
}
|
|
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|
checkpoint-300/rng_state.pth
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:3d6d8fafcd1ee268414be5acf0366296af5b03d60871978712eac1979cb42d65
|
| 3 |
-
size 14645
|
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|
|
checkpoint-300/scheduler.pt
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:d15d3d1b8bb19162d239033d431d77f4eba28beb04ec2c0ba04b41fbc223a133
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| 3 |
-
size 1465
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|
|
|
|
|
|
|
|
|
|
|
checkpoint-300/tokenizer.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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| 3 |
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size 19989343
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|
|
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|
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|
|
|
|
|
|
checkpoint-300/tokenizer_config.json
DELETED
|
@@ -1,299 +0,0 @@
|
|
| 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 |
-
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|
| 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 |
-
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|
| 170 |
-
"248061": {
|
| 171 |
-
"content": "<|fim_middle|>",
|
| 172 |
-
"single_word": false,
|
| 173 |
-
"lstrip": false,
|
| 174 |
-
"rstrip": false,
|
| 175 |
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"normalized": false,
|
| 176 |
-
"special": false
|
| 177 |
-
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|
| 178 |
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"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 |
-
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|
| 247 |
-
"normalized": false,
|
| 248 |
-
"special": true
|
| 249 |
-
},
|
| 250 |
-
"248071": {
|
| 251 |
-
"content": "<|audio_end|>",
|
| 252 |
-
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|
| 253 |
-
"lstrip": false,
|
| 254 |
-
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|
| 255 |
-
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|
| 256 |
-
"special": true
|
| 257 |
-
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|
| 258 |
-
"248072": {
|
| 259 |
-
"content": "<tts_pad>",
|
| 260 |
-
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|
| 261 |
-
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|
| 262 |
-
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|
| 263 |
-
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|
| 264 |
-
"special": true
|
| 265 |
-
},
|
| 266 |
-
"248073": {
|
| 267 |
-
"content": "<tts_text_bos>",
|
| 268 |
-
"single_word": false,
|
| 269 |
-
"lstrip": false,
|
| 270 |
-
"rstrip": false,
|
| 271 |
-
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|
| 272 |
-
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|
| 273 |
-
},
|
| 274 |
-
"248074": {
|
| 275 |
-
"content": "<tts_text_eod>",
|
| 276 |
-
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|
| 277 |
-
"lstrip": false,
|
| 278 |
-
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|
| 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 |
-
}
|
|
|
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checkpoint-300/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d43fa09e9fa05277c134e23e025ca7d913bcc82b5f79ed49fb679f22c5f7a9d9
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size 5585
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