Text Generation
Transformers
Safetensors
mixtral
Mixture of Experts
Merge
mergekit
lazymergekit
Felladrin/Minueza-32M-Base
Felladrin/Minueza-32M-UltraChat
conversational
Inference Endpoints
text-generation-inference
Isotonic commited on
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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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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - Felladrin/Minueza-32M-Base
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+ - Felladrin/Minueza-32M-UltraChat
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+ ---
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+
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+ # Mixnueza-6x32M-MoE
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+
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+ Mixnueza-6x32M-MoE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [Felladrin/Minueza-32M-Base](https://huggingface.co/Felladrin/Minueza-32M-Base)
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+ * [Felladrin/Minueza-32M-UltraChat](https://huggingface.co/Felladrin/Minueza-32M-UltraChat)
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+ * [Felladrin/Minueza-32M-Base](https://huggingface.co/Felladrin/Minueza-32M-Base)
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+ * [Felladrin/Minueza-32M-UltraChat](https://huggingface.co/Felladrin/Minueza-32M-UltraChat)
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+ * [Felladrin/Minueza-32M-Base](https://huggingface.co/Felladrin/Minueza-32M-Base)
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+ * [Felladrin/Minueza-32M-UltraChat](https://huggingface.co/Felladrin/Minueza-32M-UltraChat)
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+
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+ ## 🧩 Configuration
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+
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+ ```yamlbase_model: Felladrin/Minueza-32M-UltraChat
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+ experts:
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+ - source_model: Felladrin/Minueza-32M-Base
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+ positive_prompts:
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+ - "reasoning"
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+ - "logic"
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+ - "problem-solving"
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+ - "critical thinking"
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+ - "analysis"
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+ - "synthesis"
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+ - "evaluation"
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+ - "decision-making"
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+ - "judgment"
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+ - "insight"
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+ negative_prompts:
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+ - "programming"
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+ - "storytelling"
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+ - "legal"
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+ - "finance"
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+
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+ - source_model: Felladrin/Minueza-32M-UltraChat
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+ positive_prompts:
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+ - "program"
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+ - "software"
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+ - "develop"
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+ - "build"
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+ - "create"
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+ - "design"
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+ - "implement"
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+ - "debug"
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+ - "test"
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+ - "code"
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+ - "python"
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+ - "programming"
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+ - "function"
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+ negative_prompts:
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+ - "reasoning"
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+ - "storytelling"
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+ - "legal"
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+ - "finance"
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+
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+ - source_model: Felladrin/Minueza-32M-Base
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+ positive_prompts:
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+ - "storytelling"
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+ - "narrative"
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+ - "fiction"
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+ - "creative writing"
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+ - "plot"
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+ - "characters"
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+ - "dialogue"
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+ - "setting"
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+ - "emotion"
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+ - "imagination"
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+ - "scene"
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+ - "story"
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+ - "character"
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+ negative_prompts:
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+ - "reasoning"
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+ - "programming"
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+ - "legal"
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+ - "finance"
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+
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+ - source_model: Felladrin/Minueza-32M-UltraChat
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+ positive_prompts:
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+ - "chat"
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+ - "conversation"
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+ - "dialogue"
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+ - "discuss"
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+ - "share thoughts"
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+ - "explore ideas"
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+ - "personal assistant"
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+ - "friendly helper"
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+ negative_prompts:
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+ - "reasoning"
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+ - "programming"
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+ - "storytelling"
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+ - "legal"
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+ - "finance"
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+
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+ - source_model: Felladrin/Minueza-32M-Base
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+ positive_prompts:
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+ - "law"
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+ - "legal"
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+ - "attorney"
108
+ - "lawyer"
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+ - "court"
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+ - "contract"
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+ - "criminal"
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+ - "evidence"
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+ - "procedure"
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+ - "contracts"
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+ - "mergers & acquisitions"
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+ - "corporate governance"
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+ - "intellectual property"
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+ - "employment law"
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+ - "international trade"
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+ - "competition law"
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+ - "antitrust"
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+ - "litigation"
123
+ - "arbitration"
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+ - "mediation"
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+ negative_prompts:
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+ - "reasoning"
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+ - "programming"
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+ - "storytelling"
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+ - "finance"
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+
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+ - source_model: Felladrin/Minueza-32M-UltraChat
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+ positive_prompts:
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+ - "personal finance"
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+ - "budgeting"
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+ - "investing"
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+ - "retirement planning"
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+ - "debt management"
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+ - "financial education"
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+ - "financial"
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+ - "money"
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+ - "investment"
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+ - "banking"
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+ - "stock"
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+ - "bond"
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+ - "portfolio"
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+ - "risk"
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+ - "return"
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+ negative_prompts:
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+ - "reasoning"
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+ - "programming"
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+ - "storytelling"
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+ - "legal"
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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 = "Isotonic/Mixnueza-6x32M-MoE"
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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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+ ```
added_tokens.json ADDED
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+ {
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+ "<|im_end|>": 32000,
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+ "<|im_start|>": 32001
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "Felladrin/Minueza-32M-UltraChat",
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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": 32000,
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+ "hidden_act": "silu",
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+ "hidden_size": 312,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 1092,
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+ "max_position_embeddings": 2048,
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+ "model_type": "mixtral",
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+ "num_attention_heads": 12,
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+ "num_experts_per_tok": 2,
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+ "num_hidden_layers": 10,
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+ "num_key_value_heads": 4,
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+ "num_local_experts": 6,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-06,
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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": "float32",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "vocab_size": 32002
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+ }
mergekit_moe_config.yml ADDED
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+ base_model: Felladrin/Minueza-32M-UltraChat
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+ experts:
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+ - source_model: Felladrin/Minueza-32M-Base
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+ positive_prompts:
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+ - "reasoning"
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+ - "logic"
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+ - "problem-solving"
8
+ - "critical thinking"
9
+ - "analysis"
10
+ - "synthesis"
11
+ - "evaluation"
12
+ - "decision-making"
13
+ - "judgment"
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+ - "insight"
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+ negative_prompts:
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+ - "programming"
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+ - "storytelling"
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+ - "legal"
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+ - "finance"
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+
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+ - source_model: Felladrin/Minueza-32M-UltraChat
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+ positive_prompts:
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+ - "program"
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+ - "software"
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+ - "develop"
26
+ - "build"
27
+ - "create"
28
+ - "design"
29
+ - "implement"
30
+ - "debug"
31
+ - "test"
32
+ - "code"
33
+ - "python"
34
+ - "programming"
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+ - "function"
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+ negative_prompts:
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+ - "reasoning"
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+ - "storytelling"
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+ - "legal"
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+ - "finance"
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+
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+ - source_model: Felladrin/Minueza-32M-Base
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+ positive_prompts:
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+ - "storytelling"
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+ - "narrative"
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+ - "fiction"
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+ - "creative writing"
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+ - "plot"
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+ - "characters"
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+ - "dialogue"
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+ - "setting"
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+ - "emotion"
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+ - "imagination"
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+ - "scene"
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+ - "story"
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+ - "character"
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+ negative_prompts:
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+ - "reasoning"
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+ - "programming"
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+ - "legal"
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+ - "finance"
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+
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+ - source_model: Felladrin/Minueza-32M-UltraChat
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+ positive_prompts:
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+ - "chat"
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+ - "conversation"
67
+ - "dialogue"
68
+ - "discuss"
69
+ - "share thoughts"
70
+ - "explore ideas"
71
+ - "personal assistant"
72
+ - "friendly helper"
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+ negative_prompts:
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+ - "reasoning"
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+ - "programming"
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+ - "storytelling"
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+ - "legal"
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+ - "finance"
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+
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+ - source_model: Felladrin/Minueza-32M-Base
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+ positive_prompts:
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+ - "law"
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+ - "legal"
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+ - "attorney"
85
+ - "lawyer"
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+ - "court"
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+ - "contract"
88
+ - "criminal"
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+ - "evidence"
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+ - "procedure"
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+ - "contracts"
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+ - "mergers & acquisitions"
93
+ - "corporate governance"
94
+ - "intellectual property"
95
+ - "employment law"
96
+ - "international trade"
97
+ - "competition law"
98
+ - "antitrust"
99
+ - "litigation"
100
+ - "arbitration"
101
+ - "mediation"
102
+ negative_prompts:
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+ - "reasoning"
104
+ - "programming"
105
+ - "storytelling"
106
+ - "finance"
107
+
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+ - source_model: Felladrin/Minueza-32M-UltraChat
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+ positive_prompts:
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+ - "personal finance"
111
+ - "budgeting"
112
+ - "investing"
113
+ - "retirement planning"
114
+ - "debt management"
115
+ - "financial education"
116
+ - "financial"
117
+ - "money"
118
+ - "investment"
119
+ - "banking"
120
+ - "stock"
121
+ - "bond"
122
+ - "portfolio"
123
+ - "risk"
124
+ - "return"
125
+ negative_prompts:
126
+ - "reasoning"
127
+ - "programming"
128
+ - "storytelling"
129
+ - "legal"
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+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "32001": {
38
+ "content": "<|im_start|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ }
45
+ },
46
+ "additional_special_tokens": [],
47
+ "bos_token": "<s>",
48
+ "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
49
+ "clean_up_tokenization_spaces": false,
50
+ "eos_token": "<|im_end|>",
51
+ "legacy": true,
52
+ "model_max_length": 2048,
53
+ "pad_token": "<s>",
54
+ "sp_model_kwargs": {},
55
+ "spaces_between_special_tokens": false,
56
+ "tokenizer_class": "LlamaTokenizer",
57
+ "unk_token": "<unk>",
58
+ "use_default_system_prompt": false
59
+ }