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README.md

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+---
+base_model:
+- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
+- nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
+- nbeerbower/DeepSeek-R1-Qwen-lorablated-32B
+- nbeerbower/Rombos-Qwen2.5-32B-lorablated
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+---
+# EVA-Rombos1-Qwen2.5-32B
+
+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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using DeepSeek-R1-Qwen-lorablated-32B as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* Rombos-Qwen2.5-32B-lorablated
+* EVA-UNIT-01_EVA-Qwen2.5-32B-v0.2
+* EVA-Gutenberg3-Qwen2.5-32B
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+    - model: nbeerbower/Rombos-Qwen2.5-32B-lorablated
+    - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
+    - model: nbeerbower/EVA-Gutenberg3-Qwen2.5-32B
+merge_method: model_stock
+base_model: nbeerbower/DeepSeek-R1-Qwen-lorablated-32B
+dtype: bfloat16
+
+
+```

config.json

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+{
+    "_name_or_path": "/home/nbeerbower/AI/nvidia/text-generation-webui/models/DeepSeek-R1-Qwen-lorablated-32B",
+    "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": 27648,
+    "max_position_embeddings": 131072,
+    "max_window_layers": 64,
+    "model_type": "qwen2",
+    "num_attention_heads": 40,
+    "num_hidden_layers": 64,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.44.0",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 152064,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.7",
+        "bits": 5.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+models:
+    - model: /home/nbeerbower/AI/nvidia/text-generation-webui/models/Rombos-Qwen2.5-32B-lorablated
+    - model: /home/nbeerbower/AI/nvidia/text-generation-webui/models/EVA-UNIT-01_EVA-Qwen2.5-32B-v0.2
+    - model: /home/nbeerbower/AI/nvidia/text-generation-webui/models/nbeerbower_EVA-Gutenberg3-Qwen2.5-32B
+merge_method: model_stock
+base_model: /home/nbeerbower/AI/nvidia/text-generation-webui/models/DeepSeek-R1-Qwen-lorablated-32B
+dtype: bfloat16
+

model.safetensors.index.json

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+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% 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 %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "legacy": true,
+  "model_max_length": 16384,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}