Update README.md

README.md

@@ -3,14 +3,65 @@ language:
 - en
 license: apache-2.0
 tags:
+- merge
+- mergekit
+- lazymergekit
+- meta-llama/Meta-Llama-3-8B
+- beratcmn/Llama-3-11.5B
 - text-generation-inference
 - transformers
 - unsloth
 - llama
 - trl
-- sft
 base_model: beratcmn/Llama-3-11.5B
 ---
+# Llama-3-11.5B
+
+This model is a Proof of Concept. First 2 Llama-3-8B models has been merged using `Mergekit` and pre-training continued using `QLora` and `Unsloth` for 1000 samples from `roneneldan/TinyStories`.
+Loss still decreases each epoch so I believe this is a successful experiment where there is a lot of room to experiment. 
+
+Llama-3-11.5B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
+* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+    - model: meta-llama/Meta-Llama-3-8B
+      layer_range: [0, 24]
+  - sources:
+    - model: meta-llama/Meta-Llama-3-8B
+      layer_range: [8, 32]
+merge_method: passthrough
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "beratcmn/Llama-3-11.5B"
+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"])
+```
 
 # Uploaded  model
 
@@ -20,4 +71,4 @@ base_model: beratcmn/Llama-3-11.5B
 
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)