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Model: laion/openthoughts-4-code-qwen3-32b-annotated-7k_qwen3-1.7B_10k Source: Original Platform
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.llamafile* filter=lfs diff=lfs merge=lfs -text
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*.pt2 filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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training_args.bin filter=lfs diff=lfs merge=lfs -text
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vocab.json filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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merges.txt filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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library_name: transformers
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license: other
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base_model: Qwen/Qwen3-1.7B
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tags:
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- llama-factory
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- full
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- openthoughts
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model-index:
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- name: openthoughts-4-code-qwen3-32b-annotated-7k_qwen3-1.7B_10k
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results: []
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---
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# Openthoughts-4-code-qwen3-32b-annotated-7k_qwen3-1.7B_10k
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This model is a fine-tuned version of [Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B), 10k output length, on the laion/openthoughts-4-code-qwen3-32b-7k-annotated-sharegpt dataset (which is created using https://huggingface.co/datasets/mlfoundations-dev/hero_run_4_code as seed for generation, Qwen3 32B with 7.5k output length)
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- per_device_train_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 256
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- total_train_batch_size: 1024
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 8.0
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### Training results
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### Framework versions
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- Transformers 4.55.0
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- Pytorch 2.7.1+cu128
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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28
added_tokens.json
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added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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all_results.json
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all_results.json
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{
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"achieved_tflops_per_gpu": 0.009154196042913305,
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"achieved_tflops_per_gpu_theoretical": 253.1246706838733,
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"epoch": 8.0,
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"loss_nan_ranks": 0,
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"loss_rank_avg": 0.4003600478172302,
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"mfu_percent": 0.002934037193241444,
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"mfu_percent_theoretical": 81.12970214226708,
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"total_flos": 4.678153526260531e+16,
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"train_loss": 0.13369933033527026,
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"train_runtime": 19962.4709,
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"train_samples_per_second": 384.408,
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"train_steps_per_second": 0.376,
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"valid_targets_mean": 28802.2,
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"valid_targets_min": 22042
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}
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89
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].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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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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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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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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||||
{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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||||
{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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||||
{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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||||
{%- endif %}
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{{- '<|im_end|>\n' }}
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||||
{%- elif message.role == "tool" %}
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||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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||||
{{- '<|im_start|>user' }}
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||||
{%- endif %}
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||||
{{- '\n<tool_response>\n' }}
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||||
{{- content }}
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||||
{{- '\n</tool_response>' }}
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||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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||||
{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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60
config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
|
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"hidden_size": 2048,
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||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 6144,
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"layer_types": [
|
||||
"full_attention",
|
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"full_attention",
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||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention"
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],
|
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"max_position_embeddings": 40960,
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"max_window_layers": 28,
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"model_type": "qwen3",
|
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"num_attention_heads": 16,
|
||||
"num_hidden_layers": 28,
|
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"num_key_value_heads": 8,
|
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"rms_norm_eps": 1e-06,
|
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"rope_scaling": null,
|
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"rope_theta": 1000000,
|
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"sliding_window": null,
|
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"tie_word_embeddings": true,
|
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"torch_dtype": "bfloat16",
|
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"transformers_version": "4.55.0",
|
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"use_cache": false,
|
||||
"use_sliding_window": false,
|
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"vocab_size": 151936
|
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}
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1
configuration.json
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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13
generation_config.json
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generation_config.json
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{
|
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
|
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151645,
|
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151643
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],
|
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"pad_token_id": 151643,
|
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"temperature": 0.6,
|
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"top_k": 20,
|
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"top_p": 0.95,
|
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"transformers_version": "4.55.0"
|
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}
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BIN
merges.txt
(Stored with Git LFS)
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BIN
merges.txt
(Stored with Git LFS)
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Binary file not shown.
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model.safetensors
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3
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b095aafb58d65441a32ad01742c6ebe95b0d28b6f1beb3599548d666978aa66d
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size 3441185608
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run_summary.json
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run_summary.json
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{
|
||||
"agent_name": null,
|
||||
"training_start": null,
|
||||
"training_end": null,
|
||||
"created_by": "DCAgent",
|
||||
"base_model_name": "/p/scratch/synthlaion/dc-agent-shared/hf_hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e",
|
||||
"dataset_name": "laion/openthoughts-4-code-qwen3-32b-7k-annotated-sharegpt",
|
||||
"training_type": "SFT",
|
||||
"training_parameters": "https://huggingface.co/mlfoundations-dev/openthoughts-4-code-qwen3-32b-7k-annotated-sharegpt_save-strategy_steps_Qwen3-1-7B/blob/main/config.json",
|
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"wandb_link": null,
|
||||
"traces_location_s3": null
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||||
}
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special_tokens_map.json
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special_tokens_map.json
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{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
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"<|quad_start|>",
|
||||
"<|quad_end|>",
|
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"<|vision_start|>",
|
||||
"<|vision_end|>",
|
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"<|vision_pad|>",
|
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"<|image_pad|>",
|
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"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
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"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
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"pad_token": {
|
||||
"content": "<|endoftext|>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
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}
|
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}
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BIN
tokenizer.json
(Stored with Git LFS)
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BIN
tokenizer.json
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240
tokenizer_config.json
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tokenizer_config.json
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{
|
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"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
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},
|
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"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
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"normalized": false,
|
||||
"rstrip": false,
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|
||||
16
train_results.json
Normal file
16
train_results.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"achieved_tflops_per_gpu": 0.009154196042913305,
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||||
}
|
||||
1614
trainer_log.jsonl
Normal file
1614
trainer_log.jsonl
Normal file
File diff suppressed because it is too large
Load Diff
16536
trainer_state.json
Normal file
16536
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:15f7aaf72ad2c1cf0e38f961e470003353644389261a0d970975d61659e4d725
|
||||
size 8913
|
||||
BIN
training_loss.png
Normal file
BIN
training_loss.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 34 KiB |
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user