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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,88 @@
+---
+base_model:
+- sometimesanotion/Qwen2.5-14B-Vimarckoso
+- CultriX/SeQwence-14B-EvolMerge
+- CultriX/Qwen2.5-14B-SLERPv7
+- CultriX/SeQwence-14Bv1
+- qingy2019/Qwen2.5-Math-14B-Instruct
+- allknowingroger/QwenSlerp6-14B
+- CultriX/Qwen2.5-14B-Wernicke
+- VAGOsolutions/SauerkrautLM-v2-14b-DPO
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [sometimesanotion/Qwen2.5-14B-Vimarckoso](https://huggingface.co/sometimesanotion/Qwen2.5-14B-Vimarckoso)
+* [CultriX/SeQwence-14B-EvolMerge](https://huggingface.co/CultriX/SeQwence-14B-EvolMerge)
+* [CultriX/Qwen2.5-14B-SLERPv7](https://huggingface.co/CultriX/Qwen2.5-14B-SLERPv7)
+* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct)
+* [allknowingroger/QwenSlerp6-14B](https://huggingface.co/allknowingroger/QwenSlerp6-14B)
+* [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke)
+* [VAGOsolutions/SauerkrautLM-v2-14b-DPO](https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-DPO)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: VAGOsolutions/SauerkrautLM-v2-14b-DPO
+    parameters:
+      weight: 0.20  # Strong IFEval and factual reasoning baseline
+      density: 0.6
+  - model: allknowingroger/QwenSlerp6-14B
+    parameters:
+      weight: 0.20  # Balanced reasoning across multiple benchmarks
+      density: 0.6
+  - model: CultriX/SeQwence-14B-EvolMerge
+    parameters:
+      weight: 0.15  # Generalist model for BBH and MUSR
+      density: 0.5
+  - model: CultriX/Qwen2.5-14B-Wernicke
+    parameters:
+      weight: 0.15  # QA leader for GPQA and MUSR
+      density: 0.6  # Increase density to preserve more QA-specific parameters
+  - model: qingy2019/Qwen2.5-Math-14B-Instruct
+    parameters:
+      weight: 0.15  # Specialist for MATH and advanced reasoning
+      density: 0.6
+  - model: sometimesanotion/Qwen2.5-14B-Vimarckoso
+    parameters:
+      weight: 0.10  # MUSR leader for nuanced multi-step reasoning
+      density: 0.5
+  - model: CultriX/Qwen2.5-14B-SLERPv7
+    parameters:
+      weight: 0.05  # Contextual reasoning support for BBH and tiny benchmarks
+      density: 0.5
+base_model: CultriX/SeQwence-14Bv1
+merge_method: dare_ties
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+adaptive_merge_parameters:
+  task_weights:
+    IFEval: 1.3        # Enhanced instruction-following and factual tasks
+    BBH: 1.3           # Strengthened complex reasoning capabilities
+    MATH_Lvl_5: 1.4    # Prioritize advanced mathematical tasks
+    GPQA: 1.4          # Boost graduate-level knowledge capabilities
+    MuSR: 1.3          # Strengthen multi-step reasoning on complex tasks
+    MMLU_PRO: 1.2      # Ensure broad domain understanding
+  smoothing_factor: 0.15  # Sharper blending for reasoning and factual tasks
+gradient_clipping: 0.9   # Tighter control for precise parameter scaling
+
+```

added_tokens.json

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+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
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+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "CultriX/SeQwence-14Bv1",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 48,
+  "model_type": "qwen2",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151665
+}

mergekit_config.yml

@@ -0,0 +1,45 @@
+models:
+  - model: VAGOsolutions/SauerkrautLM-v2-14b-DPO
+    parameters:
+      weight: 0.20  # Strong IFEval and factual reasoning baseline
+      density: 0.6
+  - model: allknowingroger/QwenSlerp6-14B
+    parameters:
+      weight: 0.20  # Balanced reasoning across multiple benchmarks
+      density: 0.6
+  - model: CultriX/SeQwence-14B-EvolMerge
+    parameters:
+      weight: 0.15  # Generalist model for BBH and MUSR
+      density: 0.5
+  - model: CultriX/Qwen2.5-14B-Wernicke
+    parameters:
+      weight: 0.15  # QA leader for GPQA and MUSR
+      density: 0.6  # Increase density to preserve more QA-specific parameters
+  - model: qingy2019/Qwen2.5-Math-14B-Instruct
+    parameters:
+      weight: 0.15  # Specialist for MATH and advanced reasoning
+      density: 0.6
+  - model: sometimesanotion/Qwen2.5-14B-Vimarckoso
+    parameters:
+      weight: 0.10  # MUSR leader for nuanced multi-step reasoning
+      density: 0.5
+  - model: CultriX/Qwen2.5-14B-SLERPv7
+    parameters:
+      weight: 0.05  # Contextual reasoning support for BBH and tiny benchmarks
+      density: 0.5
+base_model: CultriX/SeQwence-14Bv1
+merge_method: dare_ties
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+adaptive_merge_parameters:
+  task_weights:
+    IFEval: 1.3        # Enhanced instruction-following and factual tasks
+    BBH: 1.3           # Strengthened complex reasoning capabilities
+    MATH_Lvl_5: 1.4    # Prioritize advanced mathematical tasks
+    GPQA: 1.4          # Boost graduate-level knowledge capabilities
+    MuSR: 1.3          # Strengthen multi-step reasoning on complex tasks
+    MMLU_PRO: 1.2      # Ensure broad domain understanding
+  smoothing_factor: 0.15  # Sharper blending for reasoning and factual tasks
+gradient_clipping: 0.9   # Tighter control for precise parameter scaling

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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|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

tokenizer_config.json

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+{
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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "normalized": false,
+      "rstrip": false,
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+      "special": true
+    },
+    "151645": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
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+      "single_word": false,
+      "special": true
+    },
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+      "special": true
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+      "single_word": false,
+      "special": false
+    },
+    "151658": {
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+    },
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+      "rstrip": false,
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+      "special": false
+    },
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+      "lstrip": false,
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+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "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    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\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    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.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{%- endif %}\n",
+  "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
+}