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Setup model repository

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.gitattributes ADDED
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+ model.safetensors filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ base_model:
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+ - nvidia/AceMath-1.5B-Instruct
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+ - Spestly/AwA-1.5B
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+ - MadeAgents/Hammer2.1-1.5b
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+ - SakanaAI/TinySwallow-1.5B-Instruct
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+ - Zyphra/ZR1-1.5B
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+ - Amu/t1-1.5B
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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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+
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+ ---
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+ # Untitled Model (1)
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [Zyphra/ZR1-1.5B](https://huggingface.co/Zyphra/ZR1-1.5B) 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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+ * [nvidia/AceMath-1.5B-Instruct](https://huggingface.co/nvidia/AceMath-1.5B-Instruct)
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+ * [Spestly/AwA-1.5B](https://huggingface.co/Spestly/AwA-1.5B)
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+ * [MadeAgents/Hammer2.1-1.5b](https://huggingface.co/MadeAgents/Hammer2.1-1.5b)
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+ * [SakanaAI/TinySwallow-1.5B-Instruct](https://huggingface.co/SakanaAI/TinySwallow-1.5B-Instruct)
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+ * [Amu/t1-1.5B](https://huggingface.co/Amu/t1-1.5B)
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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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+ models:
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+ - model: Zyphra/ZR1-1.5B
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+ parameters:
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+ weight: 5
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+ - model: nvidia/AceMath-1.5B-Instruct
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+ parameters:
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+ weight: 4
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+ - model: Spestly/AwA-1.5B
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+ parameters:
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+ weight: 3
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+ - model: MadeAgents/Hammer2.1-1.5b
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+ parameters:
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+ weight: 3
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+ - model: SakanaAI/TinySwallow-1.5B-Instruct
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+ parameters:
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+ weight: 2
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+ - model: Amu/t1-1.5B
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+ parameters:
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+ weight: 2
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+ tokenizer:
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+ source: union
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+ merge_method: dare_ties
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+ base_model: Zyphra/ZR1-1.5B
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+ dtype: bfloat16
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+
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+ ```
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+ {% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|>'}}{% endif %}
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+ {
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+ "hidden_act": "silu",
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+ "hidden_size": 1536,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 8960,
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+ "layer_types": [
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+ "full_attention",
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+ "max_position_embeddings": 131072,
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+ "model_type": "qwen2",
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+ "rope_theta": 10000,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.53.0",
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+ "use_cache": true,
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+ "vocab_size": 151673
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+ }
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+ models:
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+ - model: Zyphra/ZR1-1.5B
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+ parameters:
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+ weight: 5
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+ - model: nvidia/AceMath-1.5B-Instruct
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+ parameters:
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+ weight: 4
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+ - model: Spestly/AwA-1.5B
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+ parameters:
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+ weight: 3
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+ - model: MadeAgents/Hammer2.1-1.5b
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+ parameters:
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+ weight: 3
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+ - model: SakanaAI/TinySwallow-1.5B-Instruct
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+ parameters:
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+ weight: 2
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+ - model: Amu/t1-1.5B
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+ parameters:
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+ weight: 2
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+ tokenizer:
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+ source: union
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+ merge_method: dare_ties
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+ base_model: Zyphra/ZR1-1.5B
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+ dtype: bfloat16
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