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Model: LeroyDyer/LCARS_AI_StarTrek_Computer
Source: Original Platform

.gitattributes

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README.md

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+---
+language:
+- en
+license: mit
+library_name: transformers
+tags:
+- LCARS
+- Star-Trek
+- 128k-Context
+- mistral
+- chemistry
+- biology
+- finance
+- legal
+- art
+- code
+- medical
+- text-generation-inference
+pipeline_tag: text2text-generation
+model-index:
+- name: LCARS_AI_StarTrek_Computer
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 35.83
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 21.78
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 4.08
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 2.35
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 7.44
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 16.2
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+---
+If anybody has star trek data please send as this starship computer database archive needs it!
+
+then i can correctly theme this model to be inside its role as a starship computer : 
+so as well as any space dara ffrom nasa ; i have collected some mufon files which i am still framing the correct prompts for ; for recall as well as interogation : 
+I shall also be adding a lot of biblical data and historical data ; from sacred texts; so any generated discussions as phylosophers discussing ancient history and how to solve the problems of the past which they encountered ; in thier lifes: using historical and factual data; as well as playig thier roles after generating a biography and character role to the models to play: they should also be amazed by each others acheivements depending on thier periods:
+we need multiple role and characters for these discussions: as well as as much historical facts and historys as possible to enhance this models abitlity to dicern ancient aliens truth or false : (so we need astrological, astronomical, as well as sizmological and ecological data for the periods of histroy we know : as well as the unfounded suupositions from youtube subtitles !) another useful source of themed data!
+
+
+This model is a Collection of merged models via various merge methods :  Reclaiming Previous models which will be orphened by thier parent models :
+THis model is the model of models so it may not Remember some task or Infact remember them all as well as highly perform !
+There were some very bad NSFW Merges from role play to erotica as well as various characters and roles downloaded into the model: 
+So those models were merged into other models which had been specifically trained for maths or medical data and the coding operations or even translation:
+
+the models were heavliy dpo trained ; and various newer methodologies installed : the deep mind series is a special series which contains self correction recal, visio spacial ... step by step thinking:
+
+SO the multi merge often fizes these errors between models as well as training gaps :Hopefully they all took and merged well !
+Performing even unknown and unprogrammed tasks:
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/LeroyDyer__LCARS_AI_StarTrek_Computer-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |14.61|
+|IFEval (0-Shot)    |35.83|
+|BBH (3-Shot)       |21.78|
+|MATH Lvl 5 (4-Shot)| 4.08|
+|GPQA (0-shot)      | 2.35|
+|MuSR (0-shot)      | 7.44|
+|MMLU-PRO (5-shot)  |16.20|
+

config.json

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+{
+  "_name_or_path": "LeroyDyer/LCARS_AI_StarTrek_Computer",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.40.2",
+  "unsloth_version": "2024.4",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+models:
+  - model: LeroyDyer/Mixtral_AI_CyberFriendDeepMind_NSFW
+    parameters:
+      density: 0.382
+      weight: [0.64, 0.512, 0.128, 0.128] # weight gradient
+  - model: LeroyDyer/Mixtral_AI_CyberMind
+    parameters:
+      density: 0.382
+      weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
+  - model: LeroyDyer/Mixtral_AI_CyberChild_II
+    parameters:
+      density: 0.382
+      weight: [0.64, 0.512, 0.128, 0.128] # weight gradient
+  - model: LeroyDyer/Mixtral_AI_MasterMind_RP
+    parameters:
+      density: 0.382
+      weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
+  - model: LeroyDyer/Mixtral_LLM_COCKTAIL_MERGED
+    parameters:
+      density: 0.382
+      weight: [0.64, 0.512, 0.128, 0.128] # weight gradient
+  - model: LeroyDyer/Mixtral_AI_Cyber_Boss
+    parameters:
+      density: 0.382
+      weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
+  - model: LeroyDyer/Mixtral_AI_MasterMind_RP_II
+    parameters:
+      density: 0.382
+      weight: [0.128, 0.128, 0.128, 0.128] # weight gradient
+merge_method: ties
+base_model: LeroyDyer/Mixtral_AI_MasterTron
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16

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special_tokens_map.json

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+    "lstrip": false,
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tokenizer_config.json

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+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
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+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}