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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- merge
+- mergekit
+- kodonho/SolarM-SakuraSolar-SLERP
+- Sao10K/Sensualize-Solar-10.7B
+- NousResearch/Nous-Hermes-2-SOLAR-10.7B
+- fblgit/UNA-SOLAR-10.7B-Instruct-v1.0
+---
+
+# Umbra-MoE-4x10.7
+
+Umbra-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):
+* [kodonho/SolarM-SakuraSolar-SLERP](https://huggingface.co/kodonho/SolarM-SakuraSolar-SLERP)
+* [Sao10K/Sensualize-Solar-10.7B](https://huggingface.co/Sao10K/Sensualize-Solar-10.7B)
+* [NousResearch/Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B)
+* [fblgit/UNA-SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/fblgit/UNA-SOLAR-10.7B-Instruct-v1.0)
+
+## 🧩 Configuration
+
+```yamlbase_model: kodonho/SolarM-SakuraSolar-SLERP
+gate_mode: hidden
+dtype: bfloat16
+experts:
+  - source_model: kodonho/SolarM-SakuraSolar-SLERP
+    positive_prompts:
+    - "versatile"
+    - "helpful"
+    - "factual"
+    - "integrated"
+    - "adaptive"
+    - "comprehensive"
+    - "balanced"
+    negative_prompts:
+    - "specialized"
+    - "narrow"
+    - "focused"
+    - "limited"
+    - "specific"
+
+  - source_model: Sao10K/Sensualize-Solar-10.7B
+    positive_prompts:
+    - "creative"
+    - "chat"
+    - "discuss"
+    - "culture"
+    - "world"
+    - "expressive"
+    - "detailed"
+    - "imaginative"
+    - "engaging"
+    negative_prompts:
+    - "sorry"
+    - "cannot"
+    - "factual"
+    - "concise"
+    - "straightforward"
+    - "objective"
+    - "dry"
+
+  - source_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
+    positive_prompts:
+    - "analytical"
+    - "accurate"
+    - "logical"
+    - "knowledgeable"
+    - "precise"
+    - "calculate"
+    - "compute"
+    - "solve"
+    - "work"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+    - "tell me"
+    - "assistant"
+    negative_prompts:
+    - "creative"
+    - "abstract"
+    - "imaginative"
+    - "artistic"
+    - "emotional"
+    - "mistake"
+    - "inaccurate"
+
+  - source_model: fblgit/UNA-SOLAR-10.7B-Instruct-v1.0
+    positive_prompts:
+    - "instructive"
+    - "clear"
+    - "directive"
+    - "helpful"
+    - "informative"
+    negative_prompts:
+    - "exploratory"
+    - "open-ended"
+    - "narrative"
+    - "speculative"
+    - "artistic"
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Steelskull/Umbra-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": "kodonho/SolarM-SakuraSolar-SLERP",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_bias": false,
+  "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": 4096,
+  "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,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_moe_config.yml

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+base_model: kodonho/SolarM-SakuraSolar-SLERP
+gate_mode: hidden
+dtype: bfloat16
+experts:
+  - source_model: kodonho/SolarM-SakuraSolar-SLERP
+    positive_prompts:
+    - "versatile"
+    - "helpful"
+    - "factual"
+    - "integrated"
+    - "adaptive"
+    - "comprehensive"
+    - "balanced"
+    negative_prompts:
+    - "specialized"
+    - "narrow"
+    - "focused"
+    - "limited"
+    - "specific"
+
+  - source_model: Sao10K/Sensualize-Solar-10.7B
+    positive_prompts:
+    - "creative"
+    - "chat"
+    - "discuss"
+    - "culture"
+    - "world"
+    - "expressive"
+    - "detailed"
+    - "imaginative"
+    - "engaging"
+    negative_prompts:
+    - "sorry"
+    - "cannot"
+    - "factual"
+    - "concise"
+    - "straightforward"
+    - "objective"
+    - "dry"
+
+  - source_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
+    positive_prompts:
+    - "analytical"
+    - "accurate"
+    - "logical"
+    - "knowledgeable"
+    - "precise"
+    - "calculate"
+    - "compute"
+    - "solve"
+    - "work"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+    - "tell me"
+    - "assistant"
+    negative_prompts:
+    - "creative"
+    - "abstract"
+    - "imaginative"
+    - "artistic"
+    - "emotional"
+    - "mistake"
+    - "inaccurate"
+
+  - source_model: fblgit/UNA-SOLAR-10.7B-Instruct-v1.0
+    positive_prompts:
+    - "instructive"
+    - "clear"
+    - "directive"
+    - "helpful"
+    - "informative"
+    negative_prompts:
+    - "exploratory"
+    - "open-ended"
+    - "narrative"
+    - "speculative"
+    - "artistic"

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