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Model: laion/openthoughts-4-code-qwen3-32b-annotated-7k_qwen3-1.7B_10k
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2026-06-03 17:10:12 +08:00
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---
library_name: transformers
license: other
base_model: Qwen/Qwen3-1.7B
tags:
- llama-factory
- full
- openthoughts
model-index:
- name: openthoughts-4-code-qwen3-32b-annotated-7k_qwen3-1.7B_10k
results: []
---
# Openthoughts-4-code-qwen3-32b-annotated-7k_qwen3-1.7B_10k
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)
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- per_device_train_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 256
- total_train_batch_size: 1024
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8.0
### Training results
### Framework versions
- Transformers 4.55.0
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1

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}

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{
"achieved_tflops_per_gpu": 0.009154196042913305,
"achieved_tflops_per_gpu_theoretical": 253.1246706838733,
"epoch": 8.0,
"loss_nan_ranks": 0,
"loss_rank_avg": 0.4003600478172302,
"mfu_percent": 0.002934037193241444,
"mfu_percent_theoretical": 81.12970214226708,
"total_flos": 4.678153526260531e+16,
"train_loss": 0.13369933033527026,
"train_runtime": 19962.4709,
"train_samples_per_second": 384.408,
"train_steps_per_second": 0.376,
"valid_targets_mean": 28802.2,
"valid_targets_min": 22042
}

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{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0].role == 'system' %}
{{- messages[0].content + '\n\n' }}
{%- endif %}
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
{%- else %}
{%- if messages[0].role == 'system' %}
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for message in messages[::-1] %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- 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>')) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if message.content is string %}
{%- set content = message.content %}
{%- else %}
{%- set content = '' %}
{%- endif %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is string %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '</think>' in content %}
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
{%- if loop.index0 > ns.last_query_index %}
{%- if loop.last or (not loop.last and reasoning_content) %}
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- if message.tool_calls %}
{%- for tool_call in message.tool_calls %}
{%- if (loop.first and content) or (not loop.first) %}
{{- '\n' }}
{%- endif %}
{%- if tool_call.function %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{%- if tool_call.arguments is string %}
{{- tool_call.arguments }}
{%- else %}
{{- tool_call.arguments | tojson }}
{%- endif %}
{{- '}\n</tool_call>' }}
{%- endfor %}
{%- endif %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '<think>\n\n</think>\n\n' }}
{%- endif %}
{%- endif %}

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{
"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 6144,
"layer_types": [
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"max_position_embeddings": 40960,
"max_window_layers": 28,
"model_type": "qwen3",
"num_attention_heads": 16,
"num_hidden_layers": 28,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 1000000,
"sliding_window": null,
"tie_word_embeddings": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.55.0",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 151936
}

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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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generation_config.json Normal file
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"do_sample": true,
"eos_token_id": [
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"pad_token_id": 151643,
"temperature": 0.6,
"top_k": 20,
"top_p": 0.95,
"transformers_version": "4.55.0"
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"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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"<|im_end|>",
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"eos_token": {
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"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
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"pad_token": {
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"add_prefix_space": false,
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"single_word": false,
"special": true
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"lstrip": false,
"normalized": false,
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"lstrip": false,
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},
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},
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"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151661": {
"content": "<|fim_suffix|>",
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"normalized": false,
"rstrip": false,
"single_word": false,
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},
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},
"151664": {
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"151665": {
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"rstrip": false,
"single_word": false,
"special": false
}
},
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
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"<|vision_pad|>",
"<|image_pad|>",
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],
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": {},
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"pad_token": "<|endoftext|>",
"padding_side": "right",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
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}

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{
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"achieved_tflops_per_gpu_theoretical": 253.1246706838733,
"epoch": 8.0,
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"loss_rank_avg": 0.4003600478172302,
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"mfu_percent_theoretical": 81.12970214226708,
"total_flos": 4.678153526260531e+16,
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"train_runtime": 19962.4709,
"train_samples_per_second": 384.408,
"train_steps_per_second": 0.376,
"valid_targets_mean": 28802.2,
"valid_targets_min": 22042
}

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