| --- |
| base_model: |
| - nbeerbower/llama-3-stella-8B |
| - Hastagaras/llama-3-8b-okay |
| - nbeerbower/llama-3-gutenberg-8B |
| - openchat/openchat-3.6-8b-20240522 |
| - Kukedlc/NeuralLLaMa-3-8b-DT-v0.1 |
| - cstr/llama3-8b-spaetzle-v20 |
| - mlabonne/ChimeraLlama-3-8B-v3 |
| - flammenai/Mahou-1.1-llama3-8B |
| - KingNish/KingNish-Llama3-8b |
| license: other |
| tags: |
| - merge |
| - mergekit |
| - lazymergekit |
| - autoquant |
| - gptq |
| model-index: |
| - name: Daredevil-8B |
| results: |
| - task: |
| type: text-generation |
| name: Text Generation |
| dataset: |
| name: AI2 Reasoning Challenge (25-Shot) |
| type: ai2_arc |
| config: ARC-Challenge |
| split: test |
| args: |
| num_few_shot: 25 |
| metrics: |
| - type: acc_norm |
| value: 68.86 |
| name: normalized accuracy |
| source: |
| url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B |
| name: Open LLM Leaderboard |
| - task: |
| type: text-generation |
| name: Text Generation |
| dataset: |
| name: HellaSwag (10-Shot) |
| type: hellaswag |
| split: validation |
| args: |
| num_few_shot: 10 |
| metrics: |
| - type: acc_norm |
| value: 84.5 |
| name: normalized accuracy |
| source: |
| url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B |
| name: Open LLM Leaderboard |
| - task: |
| type: text-generation |
| name: Text Generation |
| dataset: |
| name: MMLU (5-Shot) |
| type: cais/mmlu |
| config: all |
| split: test |
| args: |
| num_few_shot: 5 |
| metrics: |
| - type: acc |
| value: 69.24 |
| name: accuracy |
| source: |
| url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B |
| name: Open LLM Leaderboard |
| - task: |
| type: text-generation |
| name: Text Generation |
| dataset: |
| name: TruthfulQA (0-shot) |
| type: truthful_qa |
| config: multiple_choice |
| split: validation |
| args: |
| num_few_shot: 0 |
| metrics: |
| - type: mc2 |
| value: 59.89 |
| source: |
| url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B |
| name: Open LLM Leaderboard |
| - task: |
| type: text-generation |
| name: Text Generation |
| dataset: |
| name: Winogrande (5-shot) |
| type: winogrande |
| config: winogrande_xl |
| split: validation |
| args: |
| num_few_shot: 5 |
| metrics: |
| - type: acc |
| value: 78.45 |
| name: accuracy |
| source: |
| url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B |
| name: Open LLM Leaderboard |
| - task: |
| type: text-generation |
| name: Text Generation |
| dataset: |
| name: GSM8k (5-shot) |
| type: gsm8k |
| config: main |
| split: test |
| args: |
| num_few_shot: 5 |
| metrics: |
| - type: acc |
| value: 73.54 |
| name: accuracy |
| source: |
| url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/Daredevil-8B |
| name: Open LLM Leaderboard |
| --- |
| |
| # Daredevil-8B |
|
|
|  |
|
|
| Daredevil-8B is a mega-merge designed to maximize MMLU. On 27 May 24, it is the Llama 3 8B model with the **highest MMLU score**. |
| From my experience, a high MMLU score is all you need with Llama 3 models. |
|
|
| It is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
| * [nbeerbower/llama-3-stella-8B](https://huggingface.co/nbeerbower/llama-3-stella-8B) |
| * [Hastagaras/llama-3-8b-okay](https://huggingface.co/Hastagaras/llama-3-8b-okay) |
| * [nbeerbower/llama-3-gutenberg-8B](https://huggingface.co/nbeerbower/llama-3-gutenberg-8B) |
| * [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522) |
| * [Kukedlc/NeuralLLaMa-3-8b-DT-v0.1](https://huggingface.co/Kukedlc/NeuralLLaMa-3-8b-DT-v0.1) |
| * [cstr/llama3-8b-spaetzle-v20](https://huggingface.co/cstr/llama3-8b-spaetzle-v20) |
| * [mlabonne/ChimeraLlama-3-8B-v3](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v3) |
| * [flammenai/Mahou-1.1-llama3-8B](https://huggingface.co/flammenai/Mahou-1.1-llama3-8B) |
| * [KingNish/KingNish-Llama3-8b](https://huggingface.co/KingNish/KingNish-Llama3-8b) |
|
|
| Thanks to nbeerbower, Hastagaras, openchat, Kukedlc, cstr, flammenai, and KingNish for their merges. Special thanks to Charles Goddard and Arcee.ai for MergeKit. |
|
|
| ## 🔎 Applications |
|
|
| You can use it as an improved version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct). |
|
|
| This is a censored model. For an uncensored version, see [mlabonne/Daredevil-8B-abliterated](https://huggingface.co/mlabonne/Daredevil-8B-abliterated). |
|
|
| Tested on LM Studio using the "Llama 3" preset. |
|
|
| ## ⚡ Quantization |
|
|
| * **GGUF**: https://huggingface.co/mlabonne/Daredevil-8B-GGUF |
|
|
| ## 🏆 Evaluation |
|
|
| ### Open LLM Leaderboard |
|
|
| Daredevil-8B is the best-performing 8B model on the Open LLM Leaderboard in terms of MMLU score (27 May 24). |
|
|
|  |
|
|
| ### Nous |
|
|
| Daredevil-8B is the best-performing 8B model on Nous' benchmark suite (evaluation performed using [LLM AutoEval](https://github.com/mlabonne/llm-autoeval), 27 May 24). See the entire leaderboard [here](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard). |
|
|
| | Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench | |
| |---|---:|---:|---:|---:|---:| |
| | [**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** | |
| | [mlabonne/Daredevil-8B-abliterated](https://huggingface.co/mlabonne/Daredevil-8B-abliterated) [📄](https://gist.github.com/mlabonne/32cdd8460804662c856bcb2a20acd49e) | 55.06 | 43.29 | 73.33 | 57.47 | 46.17 | |
| | [mlabonne/Llama-3-8B-Instruct-abliterated-dpomix](https://huggingface.co/mlabonne/Llama-3-8B-Instruct-abliterated-dpomix) [📄](https://gist.github.com/mlabonne/d711548df70e2c04771cc68ab33fe2b9) | 52.26 | 41.6 | 69.95 | 54.22 | 43.26 | |
| | [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 | |
| | [failspy/Meta-Llama-3-8B-Instruct-abliterated-v3](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3) [📄](https://gist.github.com/mlabonne/f46cce0262443365e4cce2b6fa7507fc) | 51.21 | 40.23 | 69.5 | 52.44 | 42.69 | |
| | [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 | |
|
|
| ## 🌳 Model family tree |
|
|
|  |
|
|
| ## 🧩 Configuration |
|
|
| ```yaml |
| models: |
| - model: NousResearch/Meta-Llama-3-8B |
| # No parameters necessary for base model |
| - model: nbeerbower/llama-3-stella-8B |
| parameters: |
| density: 0.6 |
| weight: 0.16 |
| - model: Hastagaras/llama-3-8b-okay |
| parameters: |
| density: 0.56 |
| weight: 0.1 |
| - model: nbeerbower/llama-3-gutenberg-8B |
| parameters: |
| density: 0.6 |
| weight: 0.18 |
| - model: openchat/openchat-3.6-8b-20240522 |
| parameters: |
| density: 0.56 |
| weight: 0.12 |
| - model: Kukedlc/NeuralLLaMa-3-8b-DT-v0.1 |
| parameters: |
| density: 0.58 |
| weight: 0.18 |
| - model: cstr/llama3-8b-spaetzle-v20 |
| parameters: |
| density: 0.56 |
| weight: 0.08 |
| - model: mlabonne/ChimeraLlama-3-8B-v3 |
| parameters: |
| density: 0.56 |
| weight: 0.08 |
| - model: flammenai/Mahou-1.1-llama3-8B |
| parameters: |
| density: 0.55 |
| weight: 0.05 |
| - model: KingNish/KingNish-Llama3-8b |
| parameters: |
| density: 0.55 |
| weight: 0.05 |
| merge_method: dare_ties |
| base_model: NousResearch/Meta-Llama-3-8B |
| dtype: bfloat16 |
| ``` |
|
|
| ## 💻 Usage |
|
|
| ```python |
| !pip install -qU transformers accelerate |
| |
| from transformers import AutoTokenizer |
| import transformers |
| import torch |
| |
| model = "mlabonne/Daredevil-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.bfloat16, |
| 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"]) |
| ``` |
|
|
