Update README.md

README.md

@@ -7,40 +7,32 @@ tags:
 - merge
 
 ---
-# merge
+# Lumina-5.5-Instruct
+Lumina-5.5-Instruct is a Mixture of Experts (MoE) made with [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing). This model uses a context window of up to 32k.
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+## 🏆 Open LLM Leaderboard Evaluation Results 
+Coming soon.
 
-## Merge Details
-### Merge Method
+## 💻 Usage
 
-This model was merged using the passthrough merge method.
+```python
+!pip install -qU transformers bitsandbytes accelerate
 
-### Models Merged
+from transformers import AutoTokenizer
+import transformers
+import torch
 
-The following models were included in the merge:
-* [Ppoyaa/Lumina-5-Instruct](https://huggingface.co/Ppoyaa/Lumina-5-Instruct)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-slices:
-  - sources:
-    - model: Ppoyaa/Lumina-5-Instruct
-      layer_range: [0, 8]
-  - sources:
-    - model: Ppoyaa/Lumina-5-Instruct
-      layer_range: [4, 16]
-  - sources:
-    - model: Ppoyaa/Lumina-5-Instruct
-      layer_range: [8, 24]
-  - sources:
-    - model: Ppoyaa/Lumina-5-Instruct
-      layer_range: [12, 32]
-merge_method: passthrough
-dtype: bfloat16
+model = "Ppoyaa/Lumina-5.5-Instruct"
 
+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"])
 ```