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.ipynb_checkpoints/added_tokens-checkpoint.json

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+{
+  "<sep>": 32002,
+  "<|end_of_turn|>": 32000,
+  "<|pad_0|>": 32001
+}

.ipynb_checkpoints/config-checkpoint.json

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+{
+  "_name_or_path": "berkeley-nest/Starling-LM-7B-alpha",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 1,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 4,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32002
+}

.ipynb_checkpoints/mergekit_moe_config-checkpoint.yml

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+base_model: chihoonlee10/T3Q-EN-DPO-Mistral-7B
+gate_mode: cheap_embed # one of "hidden", "cheap_embed", or "random"
+dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
+## (optional)
+experts_per_token: 2
+experts:
+  - source_model: Kukedlc/Jupiter-k-7B-slerp
+    positive_prompts:
+        - "This puzzle involves identifying a repeating pattern. Can you analyze the examples and complete the missing element?"
+        - "These grids seem to follow a specific visual pattern. Can you analyze the examples and apply the pattern to solve the puzzle?"
+        - "Look for a consistent rule in how the elements are arranged. Can you use that rule to predict the missing element?"
+        - "This task requires applying logical deduction. Can you analyze the information and choose the answer that follows logically?"
+        - "Reason through the cause-and-effect relationships in the examples. Can you use that logic to solve the puzzle?"
+        - "Analyze the relationship between the input and output in the examples. Can you apply that relationship to solve the new problem?"
+        - "This puzzle requires modifying the image based on a specific rule. Can you analyze the changes in the examples and apply them to solve the puzzle?"
+        - "Focus on the visual changes demonstrated in the training examples. Can you replicate those changes to solve the new problem?"
+        - "This task involves manipulating shapes or colors based on a pattern. Can you analyze the examples and apply the pattern to the new image?"
+        - "These puzzles involve manipulating numbers according to a specific rule. Can you analyze the pattern and solve the missing number?"
+        - "Focus on the mathematical operations demonstrated in the examples. Can you apply those operations to solve the new equation?"
+        - "Look for relationships between the numbers in the training examples. Can you use that relationship to predict the missing number?"
+        - "This task requires understanding the arrangement of objects in space. Can you analyze the movement patterns in the examples and predict the next step?"
+        - "Focus on the spatial relationships between elements in the grids. Can you replicate those relationships to solve the new puzzle?"
+        - "Analyze the rotation, reflection, or translation demonstrated in the examples. Can you apply that manipulation to solve the new problem?"  
+  - source_model: InferenceIllusionist/Excalibur-7b-DPO
+    positive_prompts:
+        - "This passage contains factual information. Can you summarize the key details about [topic]?"
+        - "Based on the information provided, what can you tell me about [entity]?"
+        - "Is the following statement true or false according to the passage: [statement]?"
+        - "What caused [event] to happen in the passage?"
+        - "Why did [character] take the action of [action]?"
+        - "If [condition] were true, what would likely happen next?"
+        - "How are [entity A] and [entity B] similar/different?"
+        - "Which option, [A] or [B], is more likely based on the information provided?"
+        - "Rank the following options ([list]) based on [criteria] according to the passage."
+        - "Does the following statement logically follow from the information provided: [statement]?"
+        - "Identify any inconsistencies or contradictions in the passage."
+        - "Can you draw a logical conclusion based on the evidence presented?"
+        - "What can be inferred about [concept] based on the information provided?"
+        - "What is the underlying meaning or implication of the author's statement?"
+        - "Can you fill in the blanks with the most likely word(s) based on the context?"
+        - "What are some potential consequences of [event]?"
+        - "Can you generate creative solutions to the problem presented in the passage?"
+        - "Based on the information provided, propose a course of action for [character]."
+  - source_model: yam-peleg/Experiment21-7B
+    positive_prompts:
+        - "Be truthful and objective in your response. Avoid speculation or making claims that cannot be verified."
+        - "Focus on providing factual information based on the evidence presented in the source material."
+        - "If you are unsure about something, it's okay to say 'I don't know' or 'I can't find information to support that claim'."
+        - "Be aware of potential biases in the source material and strive to present a neutral perspective."
+        - "If a source seems biased, identify the bias and consider alternative viewpoints."
+        - "Avoid using language that promotes stereotypes or prejudices."
+        - "Cite your sources when referencing information from external materials."
+        - "Acknowledge the limitations of your knowledge and the potential for different interpretations."
+        - "Be transparent about your confidence level in your answer."
+        - "Explain your reasoning process and how you arrived at your answer."
+        - "Provide evidence to support your claims whenever possible."
+        - "If there are multiple perspectives on an issue, present them fairly and objectively."
+  - source_model: senseable/WestLake-7B-v2
+    positive_prompts:
+        - "This sentence contains a pronoun ('he' or 'she'). Pay close attention to the context to determine who the pronoun refers to."
+        - "Identify the two potential referents for the pronoun ('he' or 'she') in this sentence. Analyze the context to choose the correct one."
+        - "This scenario describes two individuals. Use the information provided to understand who the pronoun refers to in the sentence."
+        - "Focus on the actions described in the sentence and the roles of the individuals involved. This will help determine the pronoun referent."
+        - "Analyze the relationship between the individuals mentioned in the sentence. The pronoun likely refers to the one performing the action."
+        - "Consider the animacy of the potential referents. Pronouns typically refer to animate beings (people or animals) in the context."
+        - "Don't rely solely on the pronoun itself. Utilize the entire sentence and surrounding context to understand its meaning."
+        - "Look for clues in the sentence that indicate who the pronoun refers to. This could include gender, possession, or actions described."
+        - "Imagine the scenario described in the sentence. Visualizing the situation can help you identify the intended referent."
+        - "Evaluate the plausibility of each potential referent for the pronoun. Choose the one that makes the most logical sense in the context."
+        - "Think about the actions described and the roles of the individuals involved. Does it make more sense for one or the other to perform the action?"
+        - "Consider the world knowledge you possess. Does the sentence describe a situation where one referent is more likely than the other?"

added_tokens.json

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+{
+  "<sep>": 32002,
+  "<|end_of_turn|>": 32000,
+  "<|pad_0|>": 32001
+}

config.json

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+{
+  "_name_or_path": "chihoonlee10/T3Q-EN-DPO-Mistral-7B",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "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": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 4,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_moe_config.yml

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+base_model: chihoonlee10/T3Q-EN-DPO-Mistral-7B
+gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
+dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
+## (optional)
+experts_per_token: 2
+experts:
+  - source_model: Kukedlc/Jupiter-k-7B-slerp
+    positive_prompts:
+        - "This puzzle involves identifying a repeating pattern. Can you analyze the examples and complete the missing element?"
+        - "These grids seem to follow a specific visual pattern. Can you analyze the examples and apply the pattern to solve the puzzle?"
+        - "Look for a consistent rule in how the elements are arranged. Can you use that rule to predict the missing element?"
+        - "This task requires applying logical deduction. Can you analyze the information and choose the answer that follows logically?"
+        - "Reason through the cause-and-effect relationships in the examples. Can you use that logic to solve the puzzle?"
+        - "Analyze the relationship between the input and output in the examples. Can you apply that relationship to solve the new problem?"
+        - "This puzzle requires modifying the image based on a specific rule. Can you analyze the changes in the examples and apply them to solve the puzzle?"
+        - "Focus on the visual changes demonstrated in the training examples. Can you replicate those changes to solve the new problem?"
+        - "This task involves manipulating shapes or colors based on a pattern. Can you analyze the examples and apply the pattern to the new image?"
+        - "These puzzles involve manipulating numbers according to a specific rule. Can you analyze the pattern and solve the missing number?"
+        - "Focus on the mathematical operations demonstrated in the examples. Can you apply those operations to solve the new equation?"
+        - "Look for relationships between the numbers in the training examples. Can you use that relationship to predict the missing number?"
+        - "This task requires understanding the arrangement of objects in space. Can you analyze the movement patterns in the examples and predict the next step?"
+        - "Focus on the spatial relationships between elements in the grids. Can you replicate those relationships to solve the new puzzle?"
+        - "Analyze the rotation, reflection, or translation demonstrated in the examples. Can you apply that manipulation to solve the new problem?"  
+  - source_model: InferenceIllusionist/Excalibur-7b-DPO
+    positive_prompts:
+        - "This passage contains factual information. Can you summarize the key details about [topic]?"
+        - "Based on the information provided, what can you tell me about [entity]?"
+        - "Is the following statement true or false according to the passage: [statement]?"
+        - "What caused [event] to happen in the passage?"
+        - "Why did [character] take the action of [action]?"
+        - "If [condition] were true, what would likely happen next?"
+        - "How are [entity A] and [entity B] similar/different?"
+        - "Which option, [A] or [B], is more likely based on the information provided?"
+        - "Rank the following options ([list]) based on [criteria] according to the passage."
+        - "Does the following statement logically follow from the information provided: [statement]?"
+        - "Identify any inconsistencies or contradictions in the passage."
+        - "Can you draw a logical conclusion based on the evidence presented?"
+        - "What can be inferred about [concept] based on the information provided?"
+        - "What is the underlying meaning or implication of the author's statement?"
+        - "Can you fill in the blanks with the most likely word(s) based on the context?"
+        - "What are some potential consequences of [event]?"
+        - "Can you generate creative solutions to the problem presented in the passage?"
+        - "Based on the information provided, propose a course of action for [character]."
+  - source_model: yam-peleg/Experiment21-7B
+    positive_prompts:
+        - "Be truthful and objective in your response. Avoid speculation or making claims that cannot be verified."
+        - "Focus on providing factual information based on the evidence presented in the source material."
+        - "If you are unsure about something, it's okay to say 'I don't know' or 'I can't find information to support that claim'."
+        - "Be aware of potential biases in the source material and strive to present a neutral perspective."
+        - "If a source seems biased, identify the bias and consider alternative viewpoints."
+        - "Avoid using language that promotes stereotypes or prejudices."
+        - "Cite your sources when referencing information from external materials."
+        - "Acknowledge the limitations of your knowledge and the potential for different interpretations."
+        - "Be transparent about your confidence level in your answer."
+        - "Explain your reasoning process and how you arrived at your answer."
+        - "Provide evidence to support your claims whenever possible."
+        - "If there are multiple perspectives on an issue, present them fairly and objectively."
+  - source_model: senseable/WestLake-7B-v2
+    positive_prompts:
+        - "This sentence contains a pronoun ('he' or 'she'). Pay close attention to the context to determine who the pronoun refers to."
+        - "Identify the two potential referents for the pronoun ('he' or 'she') in this sentence. Analyze the context to choose the correct one."
+        - "This scenario describes two individuals. Use the information provided to understand who the pronoun refers to in the sentence."
+        - "Focus on the actions described in the sentence and the roles of the individuals involved. This will help determine the pronoun referent."
+        - "Analyze the relationship between the individuals mentioned in the sentence. The pronoun likely refers to the one performing the action."
+        - "Consider the animacy of the potential referents. Pronouns typically refer to animate beings (people or animals) in the context."
+        - "Don't rely solely on the pronoun itself. Utilize the entire sentence and surrounding context to understand its meaning."
+        - "Look for clues in the sentence that indicate who the pronoun refers to. This could include gender, possession, or actions described."
+        - "Imagine the scenario described in the sentence. Visualizing the situation can help you identify the intended referent."
+        - "Evaluate the plausibility of each potential referent for the pronoun. Choose the one that makes the most logical sense in the context."
+        - "Think about the actions described and the roles of the individuals involved. Does it make more sense for one or the other to perform the action?"
+        - "Consider the world knowledge you possess. Does the sentence describe a situation where one referent is more likely than the other?"

model.safetensors.index.json

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+{"metadata": {"mergekit_version": "0.0.4.2", "total_size": 48307380224}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00005.safetensors", "model.norm.weight": "model-00001-of-00005.safetensors", "lm_head.weight": "model-00001-of-00005.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00005.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00005.safetensors", "model.layers.0.block_sparse_moe.experts.2.w3.weight": 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