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Model: sequelbox/Qwen3-14B-Esper3Mix Source: Original Platform
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README.md
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---
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base_model:
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- DMindAI/DMind-1-mini
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- Qwen/Qwen3-14B
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- soob3123/GrayLine-Qwen3-14B
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- ValiantLabs/Qwen3-14B-Cobalt2
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- ValiantLabs/Qwen3-14B-Esper3
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library_name: transformers
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- mergekit
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- merge
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- esper
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- esper-3
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- dmind
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- dmind-1-mini
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- cobalt
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- cobalt-2
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- grayline
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- valiant
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- valiant-labs
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- qwen
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- qwen-3
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- qwen-3-14b
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- 14b
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- reasoning
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- web3
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- code
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- code-instruct
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- python
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- javascript
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- dev-ops
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- jenkins
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- terraform
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- scripting
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- powershell
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- azure
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- aws
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- gcp
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- cloud
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- problem-solving
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- architect
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- engineer
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- developer
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- creative
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- analytical
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- expert
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- rationality
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- math
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- math-reasoning
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- math-instruct
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- uncensored
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- unfiltered
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- amoral-ai
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- conversational
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- chat
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- instruct
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---
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# sequelbox/Qwen3-14B-Esper3Mix
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit), combining several Qwen 3 14b finetunes to maximize reasoning performance.
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## Merge Details
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### Merge Method
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This model was merged using the [DELLA](https://arxiv.org/abs/2406.11617) merge method using [Qwen/Qwen3-14B](https://huggingface.co/Qwen/Qwen3-14B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [DMindAI/DMind-1-mini](https://huggingface.co/DMindAI/DMind-1-mini)
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* [soob3123/GrayLine-Qwen3-14B](https://huggingface.co/soob3123/GrayLine-Qwen3-14B)
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* [ValiantLabs/Qwen3-14B-Cobalt2](https://huggingface.co/ValiantLabs/Qwen3-14B-Cobalt2)
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* [ValiantLabs/Qwen3-14B-Esper3](https://huggingface.co/ValiantLabs/Qwen3-14B-Esper3)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: della
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dtype: bfloat16
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parameters:
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normalize: true
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models:
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- model: ValiantLabs/Qwen3-14B-Esper3
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parameters:
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density: 0.25
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weight: 0.4
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- model: ValiantLabs/Qwen3-14B-Cobalt2
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parameters:
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density: 0.25
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weight: 0.25
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- model: DMindAI/DMind-1-mini
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parameters:
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density: 0.25
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weight: 0.25
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- model: soob3123/GrayLine-Qwen3-14B
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parameters:
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density: 0.25
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weight: 0.25
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base_model: Qwen/Qwen3-14B
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```
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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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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"intermediate_size": 17408,
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"max_position_embeddings": 40960,
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"max_window_layers": 40,
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"model_type": "qwen3",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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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": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.52.3",
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"use_cache": true,
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"vocab_size": 151936
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}
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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mergekit_config.yml
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merge_method: della
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dtype: bfloat16
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parameters:
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normalize: true
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models:
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- model: ValiantLabs/Qwen3-14B-Esper3
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parameters:
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density: 0.25
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weight: 0.4
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- model: ValiantLabs/Qwen3-14B-Cobalt2
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parameters:
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density: 0.25
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weight: 0.25
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- model: DMindAI/DMind-1-mini
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parameters:
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density: 0.25
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weight: 0.25
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- model: soob3123/GrayLine-Qwen3-14B
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parameters:
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density: 0.25
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weight: 0.25
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base_model: Qwen/Qwen3-14B
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||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- 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>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user