Upload model weights
#7
by
sophosympatheia
- opened
- README.md +44 -6
- config.json +29 -0
- evathene-v1.0-exl2-measurement.json +0 -0
- mergekit_config.yml +15 -0
- model-00001-of-00031.safetensors +3 -0
- model-00002-of-00031.safetensors +3 -0
- model-00003-of-00031.safetensors +3 -0
- model-00004-of-00031.safetensors +3 -0
- model-00005-of-00031.safetensors +3 -0
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- model-00010-of-00031.safetensors +3 -0
- model-00011-of-00031.safetensors +3 -0
- model-00012-of-00031.safetensors +3 -0
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- model.safetensors.index.json +1 -0
- tokenizer.json +0 -0
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README.md
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---
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---
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base_model: []
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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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# eva-athene-v0.1
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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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## Merge Details
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### Merge Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using /home/llm/mergequant/models/BASE/Qwen_Qwen2.5-72B 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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* /home/llm/mergequant/models/BASE/Nexusflow_Athene-V2-Chat
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* /home/llm/mergequant/models/BASE/EVA-UNIT-01_EVA-Qwen2.5-72B-v0.1
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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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models:
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- model: /home/llm/mergequant/models/BASE/Nexusflow_Athene-V2-Chat
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parameters:
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weight: 1
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density: 1
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- model: /home/llm/mergequant/models/BASE/EVA-UNIT-01_EVA-Qwen2.5-72B-v0.1
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parameters:
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weight: [0.0, 0.2, 0.66, 0.8, 1.0, 0.8, 0.66, 0.2, 0.0]
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density: 0.5
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merge_method: ties
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base_model: /home/llm/mergequant/models/BASE/Qwen_Qwen2.5-72B
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "Evathene-v1.0",
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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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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 29568,
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"max_position_embeddings": 131072,
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"max_window_layers": 80,
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"model_type": "qwen2",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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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": "4.46.2",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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evathene-v1.0-exl2-measurement.json
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mergekit_config.yml
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models:
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- model: Nexusflow/Athene-V2-Chat
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parameters:
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weight: 1
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density: 1
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- model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
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parameters:
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weight: [0.0, 0.2, 0.66, 0.8, 1.0, 0.8, 0.66, 0.2, 0.0]
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density: 0.5
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merge_method: ties
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base_model: Qwen/Qwen2.5-72B
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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tokenizer.json
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tokenizer_config.json
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175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- '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 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",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|endoftext|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"model_max_length": 131072,
|
203 |
+
"pad_token": "<|endoftext|>",
|
204 |
+
"split_special_tokens": false,
|
205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
206 |
+
"unk_token": null
|
207 |
+
}
|