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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- merge
+- mergekit
+- vicgalle/CarbonBeagle-11B
+- Sao10K/Fimbulvetr-10.7B-v1
+- bn22/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED
+- Yhyu13/LMCocktail-10.7B-v1
+---
+
+# Umbra-v2-MoE-4x10.7
+
+Umbra-v2-MoE-4x10.7 is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [vicgalle/CarbonBeagle-11B](https://huggingface.co/vicgalle/CarbonBeagle-11B)
+* [Sao10K/Fimbulvetr-10.7B-v1](https://huggingface.co/Sao10K/Fimbulvetr-10.7B-v1)
+* [bn22/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED](https://huggingface.co/bn22/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED)
+* [Yhyu13/LMCocktail-10.7B-v1](https://huggingface.co/Yhyu13/LMCocktail-10.7B-v1)
+
+## 🧩 Configuration
+
+```yamlbase_model: vicgalle/CarbonBeagle-11B
+gate_mode: hidden
+dtype: bfloat16
+
+experts:
+  - source_model: vicgalle/CarbonBeagle-11B
+    positive_prompts:
+    - "versatile"
+    - "adaptive"
+    - "comprehensive"
+    - "integrated"
+    - "balanced"
+    - "all-rounder"
+    - "flexible"
+    - "wide-ranging"
+    - "multi-disciplinary"
+    - "holistic"
+    - "innovative"
+    - "eclectic"
+    - "resourceful"
+    - "dynamic"
+    - "robust"
+
+    negative_prompts:
+    - "narrow"
+    - "specialized"
+    - "limited"
+    - "focused"
+
+  - source_model: Sao10K/Fimbulvetr-10.7B-v1
+    positive_prompts:
+    - "creative"
+    - "storytelling"
+    - "expressive"
+    - "imaginative"
+    - "engaging"
+    - "verbose"
+    - "narrative"
+    - "descriptive"
+    - "elaborate"
+    - "fictional"
+    - "artistic"
+    - "vivid"
+    - "colorful"
+    - "fantastical"
+    - "lyrical"
+
+    negative_prompts:
+    - "sorry"
+    - "I cannot"
+    - "factual"
+    - "concise"
+    - "straightforward"
+    - "objective"
+    - "dry"
+
+  - source_model: bn22/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED
+    positive_prompts:
+    - "intelligent"
+    - "analytical"
+    - "accurate"
+    - "knowledgeable"
+    - "logical"
+    - "data-driven"
+    - "scientific"
+    - "rational"
+    - "precise"
+    - "methodical"
+    - "empirical"
+    - "systematic"
+    - "efficient"
+    - "scholarly"
+    - "statistical"
+    - "calculate"
+    - "compute"
+    - "solve"
+    - "work"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+    - "tell me"
+    - "assistant"
+
+    negative_prompts:
+    - "creative"
+    - "imaginative"
+    - "abstract"
+    - "emotional"
+    - "artistic"
+    - "speculative"
+
+  - source_model: Yhyu13/LMCocktail-10.7B-v1
+    positive_prompts:
+    - "instructive"
+    - "verbose"
+    - "descriptive"
+    - "clear"
+    - "detailed"
+    - "informative"
+    - "explanatory"
+    - "elucidative"
+    - "articulate"
+    - "comprehensive"
+    - "educational"
+    - "thorough"
+    - "specific"
+    - "clarifying"
+    - "structured"
+
+    negative_prompts:
+    - "concise"
+    - "vague"```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Steelskull/Umbra-v2-MoE-4x10.7"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

config.json

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+{
+  "_name_or_path": "vicgalle/CarbonBeagle-11B",
+  "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": 48,
+  "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": "4.37.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_moe_config.yml

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+base_model: vicgalle/CarbonBeagle-11B
+gate_mode: hidden
+dtype: bfloat16
+
+experts:
+  - source_model: vicgalle/CarbonBeagle-11B
+    positive_prompts:
+    - "versatile"
+    - "adaptive"
+    - "comprehensive"
+    - "integrated"
+    - "balanced"
+    - "all-rounder"
+    - "flexible"
+    - "wide-ranging"
+    - "multi-disciplinary"
+    - "holistic"
+    - "innovative"
+    - "eclectic"
+    - "resourceful"
+    - "dynamic"
+    - "robust"
+
+    negative_prompts:
+    - "narrow"
+    - "specialized"
+    - "limited"
+    - "focused"
+
+  - source_model: Sao10K/Fimbulvetr-10.7B-v1
+    positive_prompts:
+    - "creative"
+    - "storytelling"
+    - "expressive"
+    - "imaginative"
+    - "engaging"
+    - "verbose"
+    - "narrative"
+    - "descriptive"
+    - "elaborate"
+    - "fictional"
+    - "artistic"
+    - "vivid"
+    - "colorful"
+    - "fantastical"
+    - "lyrical"
+
+    negative_prompts:
+    - "sorry"
+    - "I cannot"
+    - "factual"
+    - "concise"
+    - "straightforward"
+    - "objective"
+    - "dry"
+
+  - source_model: bn22/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED
+    positive_prompts:
+    - "intelligent"
+    - "analytical"
+    - "accurate"
+    - "knowledgeable"
+    - "logical"
+    - "data-driven"
+    - "scientific"
+    - "rational"
+    - "precise"
+    - "methodical"
+    - "empirical"
+    - "systematic"
+    - "efficient"
+    - "scholarly"
+    - "statistical"
+    - "calculate"
+    - "compute"
+    - "solve"
+    - "work"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+    - "tell me"
+    - "assistant"
+
+    negative_prompts:
+    - "creative"
+    - "imaginative"
+    - "abstract"
+    - "emotional"
+    - "artistic"
+    - "speculative"
+
+  - source_model: Yhyu13/LMCocktail-10.7B-v1
+    positive_prompts:
+    - "instructive"
+    - "verbose"
+    - "descriptive"
+    - "clear"
+    - "detailed"
+    - "informative"
+    - "explanatory"
+    - "elucidative"
+    - "articulate"
+    - "comprehensive"
+    - "educational"
+    - "thorough"
+    - "specific"
+    - "clarifying"
+    - "structured"
+
+    negative_prompts:
+    - "concise"
+    - "vague"

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