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README.md CHANGED
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  ---
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- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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- # Doc / guide: https://huggingface.co/docs/hub/model-cards
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- {}
 
 
 
 
 
 
 
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  ---
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- # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
 
 
 
 
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- This model is an extreme experiment, I wanted to test making an MoE out of multiple High Performing Solar models. Let me know what you think
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-
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- ## Model Details
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-
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- ### Model Description
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-
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- This MoE model is an extreme experiment, I wanted to test making an MoE out of multiple High Performing Solar models. Let me know what you think.
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- Thinking about finetuning on a RP dataset later on to direct the model more
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-
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- - **Model type:** Solar-10.7
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-
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- ### Model Sources [optional]
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-
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- model_name: Lumosia-MoE-4x10.7
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-
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- base_model: DopeorNope/SOLARC-M-10.7B
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  gate_mode: hidden
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-
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  dtype: bfloat16
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-
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  experts:
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  - source_model: DopeorNope/SOLARC-M-10.7B
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  positive_prompts: [""]
@@ -37,5 +32,28 @@ experts:
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  - source_model: kyujinpy/Sakura-SOLAR-Instruct
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  positive_prompts: [""]
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  - source_model: jeonsworld/CarbonVillain-en-10.7B-v1
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- positive_prompts: [""]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ - DopeorNope/SOLARC-M-10.7B
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+ - maywell/PiVoT-10.7B-Mistral-v0.2-RP
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+ - kyujinpy/Sakura-SOLAR-Instruct
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+ - jeonsworld/CarbonVillain-en-10.7B-v1
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  ---
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+ # Lumosia-MoE-4x10.7
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+ Lumosia-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):
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+ * [DopeorNope/SOLARC-M-10.7B](https://huggingface.co/DopeorNope/SOLARC-M-10.7B)
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+ * [maywell/PiVoT-10.7B-Mistral-v0.2-RP](https://huggingface.co/maywell/PiVoT-10.7B-Mistral-v0.2-RP)
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+ * [kyujinpy/Sakura-SOLAR-Instruct](https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct)
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+ * [jeonsworld/CarbonVillain-en-10.7B-v1](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v1)
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+ ## 🧩 Configuration
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ```yamlbase_model: DopeorNope/SOLARC-M-10.7B
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  gate_mode: hidden
 
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  dtype: bfloat16
 
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  experts:
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  - source_model: DopeorNope/SOLARC-M-10.7B
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  positive_prompts: [""]
 
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  - source_model: kyujinpy/Sakura-SOLAR-Instruct
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  positive_prompts: [""]
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  - source_model: jeonsworld/CarbonVillain-en-10.7B-v1
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+ positive_prompts: [""]```
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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 = "Steelskull/Lumosia-MoE-4x10.7"
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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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+ 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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+ "_name_or_path": "DopeorNope/SOLARC-M-10.7B",
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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": "4.36.2",
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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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+ base_model: DopeorNope/SOLARC-M-10.7B
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+ gate_mode: hidden
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+ experts:
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+ - source_model: DopeorNope/SOLARC-M-10.7B
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+ positive_prompts: [""]
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+ - source_model: maywell/PiVoT-10.7B-Mistral-v0.2-RP
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+ positive_prompts: [""]
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+ - source_model: kyujinpy/Sakura-SOLAR-Instruct
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+ positive_prompts: [""]
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+ - source_model: jeonsworld/CarbonVillain-en-10.7B-v1
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+ positive_prompts: [""]
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