Create README.md

README.md

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+# Lumosia-v2-MoE-4x10.7
+
+"Lumosia" was selected as its a MoE of Multiple SOLAR Merges so it really "Lights the way".... its 3am.
+
+This is a very experimantal model. its a MoE of all good performing Solar models (based off of personal experiance not open leaderboard), 
+The models goal was to make a good all rounder, in chat/logic/rp
+
+Why? Dunno whated to see what would happen
+
+context is 4k but coherent up to 16k
+
+A Lumosia Personality tavern card has been added
+
+Come join the Discord:
+[ConvexAI](https://discord.gg/yYqmNmg7Wj)
+
+
+Template:
+```
+### System:
+
+### USER:{prompt}
+
+### Assistant:
+```
+
+
+Settings:
+```
+Temp: 1.0
+min-p: 0.02-0.1
+```
+
+## Evals:
+
+* Avg:
+* ARC:
+* HellaSwag:
+* MMLU:
+* T-QA:
+* Winogrande:
+* GSM8K:
+
+## Examples:
+```
+Example 1:
+
+User:
+
+Lumosia:
+
+```
+```
+Example 2:
+
+User:
+
+Lumosia:
+
+```
+
+## 🧩 Configuration
+
+```
+yaml
+base_model: DopeorNope/SOLARC-M-10.7B
+gate_mode: hidden
+dtype: bfloat16
+experts:
+  - source_model: DopeorNope/SOLARC-M-10.7B
+    positive_prompts: [""]
+  - source_model: maywell/PiVoT-10.7B-Mistral-v0.2-RP
+    positive_prompts: [""]
+  - source_model: kyujinpy/Sakura-SOLAR-Instruct
+    positive_prompts: [""]
+  - source_model: jeonsworld/CarbonVillain-en-10.7B-v1
+    positive_prompts: [""]
+```
+
+## 💻 Usage
+
+```
+python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Steelskull/Lumosia-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"])
+```