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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 is an off shoot of the [Lumosia Series] with a Focus in General Knowlage and RP/ERP
This model was built around the idea someone wanted a General Assiatant that could also tell Stories/RP/ERP when wanted.
This is a very experimantal model. Its a combination MoE of Solar models,Models slected are based off of personal experiance not open leaderboard.
context is 4k
Please let me know how the model works for you.
Template: ChatML
```
### System:
### USER:{prompt}
### Assistant:
```
Settings:
```
Temp: 1.0
min-p: 0.02-0.1
```
## Evals:
Will post after Benchmark
* Avg:
* ARC:
* HellaSwag:
* MMLU:
* T-QA:
* Winogrande:
* GSM8K:
## Examples:
```
To Come
```
```
To Come
```
Umbra-MoE-4x10.7 is a Mixure of Experts (MoE) made with the following models using:
* [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
```
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"
```
## 💻 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"])
``` |