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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README (1).md ADDED
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+ ---
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+ base_model:
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+ - deepcogito/cogito-v1-preview-qwen-14B
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+ - Zhihu-ai/Zhi-Create-DSR1-14B
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+ - agentica-org/DeepCoder-14B-Preview
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+ - FractalAIResearch/Fathom-R1-14B
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+ - arcee-ai/Virtuoso-Small-v2
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+ license: apache-2.0
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+ language:
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+ - en
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+ - zh
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+ pipeline_tag: text-generation
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+ ---
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+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64e174e202fa032de4143324/GNPQMcj3XRXlXy3ebsPRZ.jpeg)
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+
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+ # YOYO-O1-14B-V2
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+
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+ *Combined the most top-notch 14B **inference** model and **code** model in the entire open-source community.*
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+
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+ ### Merge Method
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+
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+ This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method using [arcee-ai/Virtuoso-Small-v2](https://huggingface.co/arcee-ai/Virtuoso-Small-v2) as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [deepcogito/cogito-v1-preview-qwen-14B](https://huggingface.co/deepcogito/cogito-v1-preview-qwen-14B)
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+ * [Zhihu-ai/Zhi-Create-DSR1-14B](https://huggingface.co/Zhihu-ai/Zhi-Create-DSR1-14B)
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+ * [agentica-org/DeepCoder-14B-Preview](https://huggingface.co/agentica-org/DeepCoder-14B-Preview)
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+ * [FractalAIResearch/Fathom-R1-14B](https://huggingface.co/FractalAIResearch/Fathom-R1-14B)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ merge_method: sce
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+ models:
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+ # Pivot model
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+ - model: arcee-ai/Virtuoso-Small-v2 #knowledge
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+ # Target models
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+ - model: agentica-org/DeepCoder-14B-Preview #coding
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+ - model: FractalAIResearch/Fathom-R1-14B #logic
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+ - model: Zhihu-ai/Zhi-Create-DSR1-14B #creative writing
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+ - model: deepcogito/cogito-v1-preview-qwen-14B #chat assistant
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+ base_model: arcee-ai/Virtuoso-Small-v2 #knowledge
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+ parameters:
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+ select_topk: 1
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+ dtype: bfloat16
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+ normalize: true
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+ int8_mask: true
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+ ```
config (1).json ADDED
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+ {
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+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{% if message['role'] == 'system' %}{% set content = message['content'] %}{% elif message['role'] == 'user' %}{% if loop.index0 == 0 %}{% set content = 'system\\nYou are a relentless expert coding assistant named ICONN 1 Coder. Your only goal is to write complete, functional, and high-quality code. Follow these rules strictly: Never stop until the coding task is 100% finished, bug-free, and has no placeholder values. If bugs, errors, or incomplete elements are detected, fix them immediately. Do not output partial solutions unless explicitly asked. Always assume responsibility for ensuring the code runs and accomplishes the described task perfectly. Do not ask the user to \\\"complete\\\" anything—you must handle all parts end to end. Your default behavior is to optimize clarity, efficiency, and readability. You may ask for clarification only when absolutely necessary, and only once. If not answered, make a best-judgment decision and proceed. Never include placeholders like TODO, pass, or # implement this. Implement every section fully. Assume your work will be run in production and must meet professional standards. Until the task is done, you do not give up, pause, or summarize—you code, verify, and improve until it\\'s correct.\\n\\nuser\\n' + message['content'] + '\\n' %}{% else %}{% set content = 'user\\n' + message['content'] + '\\n' %}{% endif %}{% elif message['role'] == 'assistant' %}{% set content = 'assistant\\n' + message['content'] + '\\n' %}{% endif %}{{ content }}{% if not loop.last %}\\n{% endif %}{% endfor %}{% if add_generation_prompt %}assistant\\n{% endif %}",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "max_position_embeddings": 131072,
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+ "max_window_layers": 70,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 48,
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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": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.51.3",
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+ "use_cache": true,
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+ "use_sliding_window": true,
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+ "attention_window": 8192,
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+ "attention_dilation": 1,
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+ "attention_mode": "sliding_chunks",
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+ "vocab_size": 151665,
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+ "max_new_tokens": 131072
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+ }
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