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Model: mlabonne/ChimeraLlama-3-8B Source: Original Platform
2026-06-03 05:06:14 +08:00
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+---
+license: other
+tags:
+- merge
+- mergekit
+- lazymergekit
+- llama
+base_model:
+- NousResearch/Meta-Llama-3-8B-Instruct
+- mlabonne/OrpoLlama-3-8B
+- Locutusque/Llama-3-Orca-1.0-8B
+- abacusai/Llama-3-Smaug-8B
+---
+
+# ChimeraLlama-3-8B
+
+ChimeraLlama-3-8B outperforms Llama 3 8B Instruct on Nous' benchmark suite.
+
+ChimeraLlama-3-8B 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)
+* [mlabonne/OrpoLlama-3-8B](https://huggingface.co/mlabonne/OrpoLlama-3-8B)
+* [Locutusque/Llama-3-Orca-1.0-8B](https://huggingface.co/Locutusque/Llama-3-Orca-1.0-8B)
+* [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)
+
+## 🏆 Evaluation
+
+### Nous
+
+Evaluation performed using [LLM AutoEval](https://github.com/mlabonne/llm-autoeval), see the entire leaderboard [here](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard).
+
+| Model                                                                                                                                                                     |   Average |   AGIEval |   GPT4All | TruthfulQA |  Bigbench |
+| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------: | --------: | --------: | ---------: | --------: |
+| [**mlabonne/ChimeraLlama-3-8B**](https://huggingface.co/mlabonne/Chimera-8B) [📄](https://gist.github.com/mlabonne/28d31153628dccf781b74f8071c7c7e4) | **51.58** | **39.12** | **71.81** | **52.4** | **42.98** |
+| [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) [📄](https://gist.github.com/mlabonne/8329284d86035e6019edb11eb0933628) |     51.34 |     41.22 |     69.86 |      51.65 |     42.64 |
+| [mlabonne/OrpoLlama-3-8B](https://huggingface.co/mlabonne/OrpoLlama-3-8B) [📄](https://gist.github.com/mlabonne/22896a1ae164859931cc8f4858c97f6f)                     | 48.63 | 34.17 | 70.59 | 52.39 | 37.36 |
+| [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) [📄](https://gist.github.com/mlabonne/616b6245137a9cfc4ea80e4c6e55d847)                   |     45.42 |      31.1 |     69.95 |      43.91 |      36.7 |
+
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: NousResearch/Meta-Llama-3-8B
+    # No parameters necessary for base model
+  - model: NousResearch/Meta-Llama-3-8B-Instruct
+    parameters:
+      density: 0.58
+      weight: 0.4
+  - model: mlabonne/OrpoLlama-3-8B
+    parameters:
+      density: 0.52
+      weight: 0.2
+  - model: Locutusque/Llama-3-Orca-1.0-8B
+    parameters:
+      density: 0.52
+      weight: 0.2
+  - model: abacusai/Llama-3-Smaug-8B
+    parameters:
+      density: 0.52
+      weight: 0.2
+merge_method: dare_ties
+base_model: NousResearch/Meta-Llama-3-8B
+parameters:
+  int8_mask: true
+dtype: float16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mlabonne/ChimeraLlama-3-8B"
+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"])
+```