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README.md +63 -31
config.json +4 -4
mergekit_config.yml +15 -8
model-00001-of-00003.safetensors +2 -2
model-00002-of-00003.safetensors +2 -2
model-00003-of-00003.safetensors +2 -2
model.safetensors.index.json +1 -1

README.md CHANGED Viewed

@@ -1,33 +1,65 @@
 ---
-license: apache-2.0
 ---
-<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0">
-  <title>Aura-llama Data Card</title>
-  <link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
-  <style> body { font-family: 'Quicksand', sans-serif; background: linear-gradient(135deg, #2E3440 0%, #1A202C 100%); color: #D8DEE9; margin: 0; padding: 0; font-size: 16px; }
-    .container { width: 80%; max-width: 800px; margin: 20px auto; background-color: rgba(255, 255, 255, 0.02); padding: 20px; border-radius: 12px; box-shadow: 0 4px 10px rgba(0, 0, 0, 0.2); backdrop-filter: blur(10px); border: 1px solid rgba(255, 255, 255, 0.1); }
-    .header h1 { font-size: 28px; color: #ECEFF4; margin: 0 0 20px 0; text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3); }
-    .update-section { margin-top: 30px; } .update-section h2 { font-size: 24px; color: #88C0D0; }
-    .update-section p { font-size: 16px; line-height: 1.6; color: #ECEFF4; }
-    .info img { width: 100%; border-radius: 10px; margin-bottom: 15px; }
-    a { color: #88C0D0; text-decoration: none; }
-    a:hover { color: #A3BE8C; }
-    pre { background-color: rgba(255, 255, 255, 0.05); padding: 10px; border-radius: 5px; overflow-x: auto; }
-    code { font-family: 'Courier New', monospace; color: #A3BE8C; } </style> </head> <body> <div class="container">
-      <div class="header">
-        <h1>Aura-llama</h1> </div> <div class="info">
-          <strong>there was an error in the first model config it has been fixed in the new repo <a href="https://huggingface.co/TheSkullery/Aura-llama-v1">TheSkullery/Aura-llama-v1</a> </strong>
-          <p>^^^^^^^^^^^</p>
-          <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/QYpWMEXTe0_X3A7HyeBm0.webp" alt="Aura-llama image">
-          <p>Now that the cute anime girl has your attention.</p>
-          <p>Aura-llama is using the methodology presented by SOLAR for scaling LLMs called depth up-scaling (DUS), which encompasses architectural modifications with continued pretraining. Using the solar paper as a base, I integrated Llama-3 weights into the upscaled layers, and In the future plan to continue training the model.</p>
-          <p>Aura-llama is a merge of the following models to create a base model to work from:</p>
-          <ul>
-            <li><a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct">meta-llama/Meta-Llama-3-8B-Instruct</a></li>
-            <li><a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct">meta-llama/Meta-Llama-3-8B-Instruct</a></li>
-          </ul>
-        </div>
-      </div>
-    </div>
-    </body>
-    </html>

 ---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- NousResearch/Meta-Llama-3-8B-Instruct
+base_model:
+- NousResearch/Meta-Llama-3-8B-Instruct
+- NousResearch/Meta-Llama-3-8B-Instruct
+- NousResearch/Meta-Llama-3-8B-Instruct
+- NousResearch/Meta-Llama-3-8B-Instruct
 ---
+# Aura-llama
+Aura-llama is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
+* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
+* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
+* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
+## 🧩 Configuration
+```yaml
+dtype: float16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 12]
+    model: NousResearch/Meta-Llama-3-8B-Instruct
+- sources:
+  - layer_range: [8, 20]
+    model: NousResearch/Meta-Llama-3-8B-Instruct
+- sources:
+  - layer_range: [16, 28]
+    model: NousResearch/Meta-Llama-3-8B-Instruct
+- sources:
+  - layer_range: [24, 32]
+    model: NousResearch/Meta-Llama-3-8B-Instruct
+```
+## 💻 Usage
+```python
+!pip install -qU transformers accelerate
+from transformers import AutoTokenizer
+import transformers
+import torch
+model = "TheSkullery/Aura-llama"
+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 CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -14,15 +14,15 @@
   "max_position_embeddings": 8192,
   "model_type": "llama",
   "num_attention_heads": 32,
-  "num_hidden_layers": 47,
   "num_key_value_heads": 8,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
   "rope_theta": 500000.0,
   "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.39.3",
   "use_cache": true,
   "vocab_size": 128256
 }

 {
+  "_name_or_path": "NousResearch/Meta-Llama-3-8B-Instruct",
   "architectures": [
     "LlamaForCausalLM"
   ],
   "max_position_embeddings": 8192,
   "model_type": "llama",
   "num_attention_heads": 32,
+  "num_hidden_layers": 44,
   "num_key_value_heads": 8,
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
   "rope_theta": 500000.0,
   "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
   "use_cache": true,
   "vocab_size": 128256
 }

mergekit_config.yml CHANGED Viewed

@@ -1,9 +1,16 @@
-slices:
-  - sources:
-    - model: meta-llama/Meta-Llama-3-8B-Instruct
-      layer_range: [0, 23]
-  - sources:
-    - model: meta-llama/Meta-Llama-3-8B-Instruct
-      layer_range: [7, 31]
 merge_method: passthrough
-dtype: bfloat16

+dtype: float16
 merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 12]
+    model: NousResearch/Meta-Llama-3-8B-Instruct
+- sources:
+  - layer_range: [8, 20]
+    model: NousResearch/Meta-Llama-3-8B-Instruct
+- sources:
+  - layer_range: [16, 28]
+    model: NousResearch/Meta-Llama-3-8B-Instruct
+- sources:
+  - layer_range: [24, 32]
+    model: NousResearch/Meta-Llama-3-8B-Instruct

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