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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,64 @@
+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- 0x0dad0/nous_nb_01
+- 0x0dad0/nous_nb_02
+base_model:
+- 0x0dad0/nous_nb_01
+- 0x0dad0/nous_nb_02
+---
+
+# Optimus_Prime_test_2b
+
+Optimus_Prime_test_2b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [0x0dad0/nous_nb_01](https://huggingface.co/0x0dad0/nous_nb_01)
+* [0x0dad0/nous_nb_02](https://huggingface.co/0x0dad0/nous_nb_02)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: 0x0dad0/nous_nb_01
+        layer_range: [0, 17]
+      - model: 0x0dad0/nous_nb_02
+        layer_range: [0, 17]
+merge_method: slerp
+base_model: 0x0dad0/nous_nb_02
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Sumail/Optimus_Prime_test_2b"
+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"])
+```

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "0x0dad0/nous_nb_02",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 17,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.1",
+  "use_cache": false,
+  "vocab_size": 256000
+}

mergekit_config.yml

@@ -0,0 +1,18 @@
+
+slices:
+  - sources:
+      - model: 0x0dad0/nous_nb_01
+        layer_range: [0, 17]
+      - model: 0x0dad0/nous_nb_02
+        layer_range: [0, 17]
+merge_method: slerp
+base_model: 0x0dad0/nous_nb_02
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+

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+    "rstrip": false,
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+}