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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - moe
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+ - frankenmoe
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - CultriX/MonaTrix-v4
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+ - mlabonne/OmniTruthyBeagle-7B-v0
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+ - CultriX/MoNeuTrix-7B-v1
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+ - paulml/OmniBeagleSquaredMBX-v3-7B
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+ base_model:
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+ - CultriX/MonaTrix-v4
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+ - mlabonne/OmniTruthyBeagle-7B-v0
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+ - CultriX/MoNeuTrix-7B-v1
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+ - paulml/OmniBeagleSquaredMBX-v3-7B
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+ ---
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+
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+ # NeuralMona_MoE-4x7B
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+
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+ NeuralMona_MoE-4x7B is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [CultriX/MonaTrix-v4](https://huggingface.co/CultriX/MonaTrix-v4)
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+ * [mlabonne/OmniTruthyBeagle-7B-v0](https://huggingface.co/mlabonne/OmniTruthyBeagle-7B-v0)
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+ * [CultriX/MoNeuTrix-7B-v1](https://huggingface.co/CultriX/MoNeuTrix-7B-v1)
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+ * [paulml/OmniBeagleSquaredMBX-v3-7B](https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ base_model: CultriX/MonaTrix-v4
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+ dtype: bfloat16
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+ experts:
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+ - source_model: "CultriX/MonaTrix-v4" # Historical Analysis, Geopolitics, and Economic Evaluation
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+ positive_prompts:
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+ - "Historic analysis"
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+ - "Geopolitical impacts"
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+ - "Evaluate significance"
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+ - "Predict impact"
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+ - "Assess consequences"
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+ - "Discuss implications"
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+ - "Explain geopolitical"
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+ - "Analyze historical"
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+ - "Examine economic"
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+ - "Evaluate role"
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+ - "Analyze importance"
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+ - "Discuss cultural impact"
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+ - "Discuss historical"
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+ negative_prompts:
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+ - "Compose"
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+ - "Translate"
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+ - "Debate"
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+ - "Solve math"
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+ - "Analyze data"
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+ - "Forecast"
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+ - "Predict"
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+ - "Process"
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+ - "Coding"
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+ - "Programming"
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+ - "Code"
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+ - "Datascience"
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+ - "Cryptography"
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+
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+ - source_model: "mlabonne/OmniTruthyBeagle-7B-v0" # Multilingual Communication and Cultural Insights
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+ positive_prompts:
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+ - "Describe cultural"
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+ - "Explain in language"
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+ - "Translate"
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+ - "Compare cultural differences"
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+ - "Discuss cultural impact"
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+ - "Narrate in language"
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+ - "Explain impact on culture"
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+ - "Discuss national identity"
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+ - "Describe cultural significance"
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+ - "Narrate cultural"
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+ - "Discuss folklore"
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+ negative_prompts:
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+ - "Compose"
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+ - "Debate"
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+ - "Solve math"
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+ - "Analyze data"
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+ - "Forecast"
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+ - "Predict"
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+ - "Coding"
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+ - "Programming"
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+ - "Code"
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+ - "Datascience"
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+ - "Cryptography"
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+
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+ - source_model: "CultriX/MoNeuTrix-7B-v1" # Problem Solving, Innovation, and Creative Thinking
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+ positive_prompts:
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+ - "Devise strategy"
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+ - "Imagine society"
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+ - "Invent device"
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+ - "Design concept"
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+ - "Propose theory"
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+ - "Reason math"
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+ - "Develop strategy"
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+ - "Invent"
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+ negative_prompts:
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+ - "Translate"
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+ - "Discuss"
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+ - "Debate"
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+ - "Summarize"
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+ - "Explain"
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+ - "Detail"
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+ - "Compose"
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+
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+ - source_model: "paulml/OmniBeagleSquaredMBX-v3-7B" # Explaining Scientific Phenomena and Principles
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+ positive_prompts:
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+ - "Explain scientific"
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+ - "Discuss impact"
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+ - "Analyze potential"
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+ - "Elucidate significance"
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+ - "Summarize findings"
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+ - "Detail explanation"
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+ negative_prompts:
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+ - "Cultural significance"
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+ - "Engage in creative writing"
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+ - "Perform subjective judgment tasks"
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+ - "Discuss cultural traditions"
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+ - "Write review"
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+ - "Design"
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+ - "Create"
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+ - "Narrate"
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+ - "Discuss"
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers bitsandbytes accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "CultriX/NeuralMona_MoE-4x7B"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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+ )
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+
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+ messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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+ prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "CultriX/MonaTrix-v4",
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+ "architectures": [
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+ "MixtralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mixtral",
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+ "num_attention_heads": 32,
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+ "num_experts_per_tok": 2,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "num_local_experts": 4,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "router_aux_loss_coef": 0.001,
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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": "4.39.1",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_moe_config.yml ADDED
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+
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+ base_model: CultriX/MonaTrix-v4
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+ dtype: bfloat16
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+ experts:
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+ - source_model: "CultriX/MonaTrix-v4" # Historical Analysis, Geopolitics, and Economic Evaluation
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+ positive_prompts:
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+ - "Historic analysis"
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+ - "Geopolitical impacts"
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+ - "Evaluate significance"
10
+ - "Predict impact"
11
+ - "Assess consequences"
12
+ - "Discuss implications"
13
+ - "Explain geopolitical"
14
+ - "Analyze historical"
15
+ - "Examine economic"
16
+ - "Evaluate role"
17
+ - "Analyze importance"
18
+ - "Discuss cultural impact"
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+ - "Discuss historical"
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+ negative_prompts:
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+ - "Compose"
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+ - "Translate"
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+ - "Debate"
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+ - "Solve math"
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+ - "Analyze data"
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+ - "Forecast"
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+ - "Predict"
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+ - "Process"
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+ - "Coding"
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+ - "Programming"
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+ - "Code"
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+ - "Datascience"
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+ - "Cryptography"
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+
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+ - source_model: "mlabonne/OmniTruthyBeagle-7B-v0" # Multilingual Communication and Cultural Insights
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+ positive_prompts:
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+ - "Describe cultural"
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+ - "Explain in language"
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+ - "Translate"
40
+ - "Compare cultural differences"
41
+ - "Discuss cultural impact"
42
+ - "Narrate in language"
43
+ - "Explain impact on culture"
44
+ - "Discuss national identity"
45
+ - "Describe cultural significance"
46
+ - "Narrate cultural"
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+ - "Discuss folklore"
48
+ negative_prompts:
49
+ - "Compose"
50
+ - "Debate"
51
+ - "Solve math"
52
+ - "Analyze data"
53
+ - "Forecast"
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+ - "Predict"
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+ - "Coding"
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+ - "Programming"
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+ - "Code"
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+ - "Datascience"
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+ - "Cryptography"
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+
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+ - source_model: "CultriX/MoNeuTrix-7B-v1" # Problem Solving, Innovation, and Creative Thinking
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+ positive_prompts:
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+ - "Devise strategy"
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+ - "Imagine society"
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+ - "Invent device"
66
+ - "Design concept"
67
+ - "Propose theory"
68
+ - "Reason math"
69
+ - "Develop strategy"
70
+ - "Invent"
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+ negative_prompts:
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+ - "Translate"
73
+ - "Discuss"
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+ - "Debate"
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+ - "Summarize"
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+ - "Explain"
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+ - "Detail"
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+ - "Compose"
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+
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+ - source_model: "paulml/OmniBeagleSquaredMBX-v3-7B" # Explaining Scientific Phenomena and Principles
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+ positive_prompts:
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+ - "Explain scientific"
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+ - "Discuss impact"
84
+ - "Analyze potential"
85
+ - "Elucidate significance"
86
+ - "Summarize findings"
87
+ - "Detail explanation"
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+ negative_prompts:
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+ - "Cultural significance"
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+ - "Engage in creative writing"
91
+ - "Perform subjective judgment tasks"
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+ - "Discuss cultural traditions"
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+ - "Write review"
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+ - "Design"
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+ - "Create"
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+ - "Narrate"
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+ - "Discuss"
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+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "additional_special_tokens": [],
31
+ "bos_token": "<s>",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": true,
35
+ "model_max_length": 1000000000000000019884624838656,
36
+ "pad_token": "<s>",
37
+ "sp_model_kwargs": {},
38
+ "spaces_between_special_tokens": false,
39
+ "tokenizer_class": "LlamaTokenizer",
40
+ "unk_token": "<unk>",
41
+ "use_default_system_prompt": false
42
+ }