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--- |
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license: other |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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base_model: |
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- nbeerbower/llama-3-stella-8B |
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- Hastagaras/llama-3-8b-okay |
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- nbeerbower/llama-3-gutenberg-8B |
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- openchat/openchat-3.6-8b-20240522 |
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- Kukedlc/NeuralLLaMa-3-8b-DT-v0.1 |
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- cstr/llama3-8b-spaetzle-v20 |
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- mlabonne/ChimeraLlama-3-8B-v3 |
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- flammenai/Mahou-1.1-llama3-8B |
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- KingNish/KingNish-Llama3-8b |
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--- |
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# Daredevil-8B |
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**tl;dr: It looks like a successful merge** |
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Daredevil-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [nbeerbower/llama-3-stella-8B](https://huggingface.co/nbeerbower/llama-3-stella-8B) |
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* [Hastagaras/llama-3-8b-okay](https://huggingface.co/Hastagaras/llama-3-8b-okay) |
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* [nbeerbower/llama-3-gutenberg-8B](https://huggingface.co/nbeerbower/llama-3-gutenberg-8B) |
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* [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522) |
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* [Kukedlc/NeuralLLaMa-3-8b-DT-v0.1](https://huggingface.co/Kukedlc/NeuralLLaMa-3-8b-DT-v0.1) |
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* [cstr/llama3-8b-spaetzle-v20](https://huggingface.co/cstr/llama3-8b-spaetzle-v20) |
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* [mlabonne/ChimeraLlama-3-8B-v3](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v3) |
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* [flammenai/Mahou-1.1-llama3-8B](https://huggingface.co/flammenai/Mahou-1.1-llama3-8B) |
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* [KingNish/KingNish-Llama3-8b](https://huggingface.co/KingNish/KingNish-Llama3-8b) |
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## 🔎 Applications |
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It is a highly functional censored model. You might want to add `<end_of_turn>` as an additional stop string. |
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## ⚡ Quantization |
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* **GGUF**: https://huggingface.co/mlabonne/Daredevil-8B-GGUF |
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## 🏆 Evaluation |
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| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench | |
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| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------: | --------: | --------: | ---------: | --------: | |
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| [**mlabonne/Daredevil-8B**](https://huggingface.co/mlabonne/Daredevil-8B) [📄](https://gist.github.com/mlabonne/080f9c5f153ea57a7ab7d932cf896f21) | **55.87** | **44.13** | **73.52** | **59.05** | **46.77** | |
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| [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 | |
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| [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 | |
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| [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 | |
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## 🌳 Model family tree |
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## 🧩 Configuration |
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```yaml |
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models: |
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- model: NousResearch/Meta-Llama-3-8B |
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# No parameters necessary for base model |
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- model: nbeerbower/llama-3-stella-8B |
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parameters: |
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density: 0.6 |
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weight: 0.16 |
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- model: Hastagaras/llama-3-8b-okay |
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parameters: |
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density: 0.56 |
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weight: 0.1 |
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- model: nbeerbower/llama-3-gutenberg-8B |
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parameters: |
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density: 0.6 |
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weight: 0.18 |
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- model: openchat/openchat-3.6-8b-20240522 |
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parameters: |
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density: 0.56 |
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weight: 0.12 |
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- model: Kukedlc/NeuralLLaMa-3-8b-DT-v0.1 |
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parameters: |
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density: 0.58 |
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weight: 0.18 |
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- model: cstr/llama3-8b-spaetzle-v20 |
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parameters: |
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density: 0.56 |
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weight: 0.08 |
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- model: mlabonne/ChimeraLlama-3-8B-v3 |
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parameters: |
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density: 0.56 |
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weight: 0.08 |
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- model: flammenai/Mahou-1.1-llama3-8B |
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parameters: |
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density: 0.55 |
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weight: 0.05 |
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- model: KingNish/KingNish-Llama3-8b |
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parameters: |
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density: 0.55 |
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weight: 0.05 |
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merge_method: dare_ties |
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base_model: NousResearch/Meta-Llama-3-8B |
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dtype: bfloat16 |
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``` |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "mlabonne/Daredevil-8B" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
