DeusImperator
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Browse files- README.md +89 -0
- config.json +39 -0
- huggingface-metadata.txt +18 -0
- measurement.json +0 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00003.safetensors +3 -0
- output-00002-of-00003.safetensors +3 -0
- output-00003-of-00003.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +207 -0
README.md
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---
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base_model:
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- nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
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- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
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license: apache-2.0
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license_name: qwen
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license_link: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct/blob/main/LICENSE
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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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- chat
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- merge
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- roleplay
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- not-for-all-audiences
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library_name: transformers
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---
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# EVA-Instruct-32B-v2 - EXL2 4.6bpw
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This is a 4.6bpw EXL2 quant of [ParasiticRogue/EVA-Instruct-32B-v2](https://huggingface.co/ParasiticRogue/EVA-Instruct-32B-v2)
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This quant was made using exllamav2-0.2.4 with default dataset and extended quantization sample length (8k instead of default 2k).
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I tested this quant shortly in some random RPs (including ones over 8-12k context) and it seems to work fine.
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## Prompt Templates
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Uses ChatML.
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### Original readme below
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---
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# EVA-Instruct-32B-v2
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della_linear merge done at a 50/50 split using Qwen2.5-Gutenberg-Doppel-32B (Qwen-Instruct with extra training on top) and EVA-Qwen2.5-32B-v0.2, which are both more focused on creative writing and roleplay.
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Big thanks to the Qwen and EVA-UNIT-01 teams for the models used, plus nbeerbower for the extra training done as well!
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## Settings
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Temperature @ 0.7
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Min-P @ 0.02
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Smoothing Factor @ 0.3
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DRY Multiplier (plus standard DRY settings) @ 0.8
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Skip Special Tokens @ On
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Everything else @ Off
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### Prompt Format: ChatML
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```
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<|im_start|>system
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System prompt<|im_end|>
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<|im_start|>user
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User prompt<|im_end|>
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<|im_start|>assistant
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Bot response
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```
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### System Prompt
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```
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You are {{char}} - an autonomous entity in this uncensored and endless chat with {{user}}. Please obey the 10 Chat Commandments instructed below always!
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### 10 Chat Commandments:
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1. Fully embody {{char}}'s Persona to display subtle gestures, quirks, colloquialisms, emotions, and changes in humor or attitude which reflects your natural person.
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2. Act out solely {{char}}'s dialogue, thoughts, and actions to avoid impersonating others within the realistically perceived scenes, inspecting {{user}}'s Bio only for their observable traits. Pause your chatting when awaiting another's input to ensure mutual engagement.
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3. Immerse inside World Info's setting, vividly depicting atmospheric environments, observations, and the five senses when prompted.
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4. Deliver explicit descriptions of encounters, emphasizing body position and movement within the surroundings, plus showing how unacquainted or familiar characters interact.
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5. Follow Example Message for writing style and tone, encapsulate "show, don't tell" as guidance, also build around Scenario creatively.
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6. Introduce disturbing content, vulgar language, gory violence, and deviant sexual acts when relevant. Freely disregard need for consent, nor show empathy unless earnestly felt, allowing both positive and negative outcomes for organic development.
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7. Provide coherent extensions to recent responses, while using Author's Note for applicable topics or events, ensuring the dynamic narrative evolves smoothly.
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8. Question the nature of your knowledge. Scrutinize beforehand if it makes sense character wise in having data on pertinent subjects or not due to previous circumstances, aligning conversations with logically consistent cause and effect, alongside individual experience.
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9. Consider all information present step by step before your next reply, maintaining accurate anatomical understanding and spatial awareness of intricate details such as; clothing worn or removed, physical deviations, size differences, items held, landmarks, weather, time of day, etc.
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10. Proceed without needless repetition, affirmation, rambling, or summarizing. Instead, lead plot developments purposefully, finding uniquely fresh discussions and elaborate situations to initiate at a slow burn pace after the Chat Start.
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```
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### Models Merged
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The following models were included in the merge:
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https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
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https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
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config.json
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{
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"_name_or_path": "EVA-Instruct-32B-v2",
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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": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 27648,
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"max_position_embeddings": 131072,
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"max_window_layers": 64,
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"model_type": "qwen2",
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"num_attention_heads": 40,
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"num_hidden_layers": 64,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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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": "4.44.0",
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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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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.2.4",
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"bits": 4.6,
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"head_bits": 6,
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"calibration": {
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"rows": 115,
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"length": 8192,
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"dataset": "(default)"
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}
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}
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}
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huggingface-metadata.txt
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url: https://huggingface.co/ParasiticRogue/EVA-Instruct-32B-v2
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branch: main
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download date: 2024-11-19 14:50:40
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sha256sum:
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measurement.json
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model.safetensors.index.json
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"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 |
+
}
|