Update README.md

README.md

@@ -1,93 +0,0 @@
----
-tags:
-- merge
-- mergekit
-- lazymergekit
-- grimjim/Mistral-7B-Instruct-demi-merge-v0.3-7B
-- DataPilot/ArrowPro-7B-KillerWhale
-- icefog72/IceBlendedLatteRP-7b
-- Elizezen/Berghof-NSFW-7B
-- mlabonne/OmniBeagle-7B
-- Kaoeiri/AkiroErotures
-base_model:
-- grimjim/Mistral-7B-Instruct-demi-merge-v0.3-7B
-- DataPilot/ArrowPro-7B-KillerWhale
-- icefog72/IceBlendedLatteRP-7b
-- Elizezen/Berghof-NSFW-7B
-- mlabonne/OmniBeagle-7B
-- Kaoeiri/AkiroErotures
----
-
-# AkiroXEntro-7B-1-V1
-
-AkiroXEntro-7B-1-V1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-
-# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
-* [grimjim/Mistral-7B-Instruct-demi-merge-v0.3-7B](https://huggingface.co/grimjim/Mistral-7B-Instruct-demi-merge-v0.3-7B)
-* [DataPilot/ArrowPro-7B-KillerWhale](https://huggingface.co/DataPilot/ArrowPro-7B-KillerWhale)
-* [icefog72/IceBlendedLatteRP-7b](https://huggingface.co/icefog72/IceBlendedLatteRP-7b)
-* [Elizezen/Berghof-NSFW-7B](https://huggingface.co/Elizezen/Berghof-NSFW-7B)
-* [mlabonne/OmniBeagle-7B](https://huggingface.co/mlabonne/OmniBeagle-7B)
-* [Kaoeiri/AkiroErotures](https://huggingface.co/Kaoeiri/AkiroErotures)
-
-## 🧩 Configuration
-
-```yaml
-models:
-  - model: grimjim/Mistral-7B-Instruct-demi-merge-v0.3-7B
-    parameters:
-      density: .5
-      weight: 1
-  - model: DataPilot/ArrowPro-7B-KillerWhale
-    parameters:
-      density: .2
-      weight: .5
-  - model: icefog72/IceBlendedLatteRP-7b
-    parameters:
-      density: .1
-      weight: .2
-  - model: Elizezen/Berghof-NSFW-7B
-    parameters:
-      density: .7
-      weight: .4
-  - model: mlabonne/OmniBeagle-7B
-    parameters:
-      density: .2
-      weight: .4
-  - model: Kaoeiri/AkiroErotures
-    parameters:
-      density: .5
-      weight: .7
-merge_method: ties
-tokenizer_source: union
-base_model: Kaoeiri/AkiroErotures
-parameters:
-  normalize: true
-  int8_mask: true
-dtype: bfloat16
-```
-
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "Kaoeiri/AkiroXEntro-7B-1-V1"
-messages = [{"role": "user", "content": "What is a large language model?"}]
-
-tokenizer = AutoTokenizer.from_pretrained(model)
-prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model,
-    torch_dtype=torch.float16,
-    device_map="auto",
-)
-
-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"])
-```