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Model: mlabonne/Meta-Llama-3-12B-Instruct Source: Original Platform
2026-06-03 05:54:12 +08:00
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+---
+license: other
+tags:
+- merge
+- mergekit
+- lazymergekit
+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
+- NousResearch/Meta-Llama-3-8B-Instruct
+---
+
+# Meta-Llama-3-12B-Instruct
+
+Meta-Llama-3-12B-Instruct 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)
+* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
+
+## 🏆 Evaluation
+
+|                                        Model                                         |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
+|--------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
+|[Meta-Llama-3-12B-Instruct](https://huggingface.co/mlabonne/Meta-Llama-3-12B-Instruct)|   41.7|  67.71|     52.75|   40.58|  50.69|
+|[Meta-Llama-3-12B](https://huggingface.co/mlabonne/Meta-Llama-3-12B)|  29.46|  68.01|     41.02|   35.57|  43.52|
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+    - model: NousResearch/Meta-Llama-3-8B-Instruct
+      layer_range: [0,9]
+  - sources:
+    - model: NousResearch/Meta-Llama-3-8B-Instruct
+      layer_range: [5,14]
+  - sources:
+    - model: NousResearch/Meta-Llama-3-8B-Instruct
+      layer_range: [10,19]
+  - sources:
+    - model: NousResearch/Meta-Llama-3-8B-Instruct
+      layer_range: [15,24]
+  - sources:
+    - model: NousResearch/Meta-Llama-3-8B-Instruct
+      layer_range: [20,32]
+merge_method: passthrough
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mlabonne/Meta-Llama-3-12B-Instruct"
+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"])
+```