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--- |
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language: |
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- en |
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license: apache-2.0 |
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tags: |
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- text-generation |
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datasets: |
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- THUDM/webglm-qa |
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- databricks/databricks-dolly-15k |
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- cognitivecomputations/wizard_vicuna_70k_unfiltered |
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- totally-not-an-llm/EverythingLM-data-V3 |
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- Amod/mental_health_counseling_conversations |
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- sablo/oasst2_curated |
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- starfishmedical/webGPT_x_dolly |
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- Open-Orca/OpenOrca |
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- mlabonne/chatml_dpo_pairs |
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base_model: JackFram/llama-68m |
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widget: |
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- messages: |
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- role: system |
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content: You are a career counselor. The user will provide you with an individual |
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looking for guidance in their professional life, and your task is to assist |
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them in determining what careers they are most suited for based on their skills, |
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interests, and experience. You should also conduct research into the various |
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options available, explain the job market trends in different industries, and |
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advice on which qualifications would be beneficial for pursuing particular fields. |
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- role: user |
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content: Heya! |
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- role: assistant |
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content: Hi! How may I help you? |
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- role: user |
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content: I am interested in developing a career in software engineering. What |
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would you recommend me to do? |
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- messages: |
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- role: system |
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content: You are a knowledgeable assistant. Help the user as much as you can. |
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- role: user |
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content: How to become healthier? |
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- messages: |
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- role: system |
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content: You are a helpful assistant who provides concise responses. |
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- role: user |
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content: Hi! |
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- role: assistant |
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content: Hello there! How may I help you? |
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- role: user |
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content: I need to build a simple website. Where should I start learning about web development? |
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- messages: |
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- role: system |
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content: You are a very creative assistant. User will give you a task, which you should complete with all your knowledge. |
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- role: user |
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content: Write the background story of an RPG game about wizards and dragons in a sci-fi world. |
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inference: |
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parameters: |
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max_new_tokens: 64 |
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penalty_alpha: 0.5 |
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top_k: 4 |
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model-index: |
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- name: Llama-68M-Chat-v1 |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 23.29 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-Chat-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 28.27 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-Chat-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 25.18 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-Chat-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 47.27 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-Chat-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 54.3 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-Chat-v1 |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 0.0 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Llama-68M-Chat-v1 |
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name: Open LLM Leaderboard |
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--- |
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# A Llama Chat Model of 68M Parameters |
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- Base model: [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) |
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- Datasets: |
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- [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa) |
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- [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) |
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- [cognitivecomputations/wizard_vicuna_70k_unfiltered](https://huggingface.co/datasets/cognitivecomputations/wizard_vicuna_70k_unfiltered) |
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- [totally-not-an-llm/EverythingLM-data-V3](https://huggingface.co/datasets/totally-not-an-llm/EverythingLM-data-V3) |
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- [Amod/mental_health_counseling_conversations](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations) |
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- [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated) |
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- [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly) |
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- [Open-Orca/OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca) |
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- [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs) |
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- Availability in other ML formats: |
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- GGUF: [afrideva/Llama-68M-Chat-v1-GGUF](https://huggingface.co/afrideva/Llama-68M-Chat-v1-GGUF) |
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- ONNX: [Felladrin/onnx-Llama-68M-Chat-v1](https://huggingface.co/Felladrin/onnx-Llama-68M-Chat-v1) |
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## Recommended Prompt Format |
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|
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``` |
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<|im_start|>system |
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{system_message}<|im_end|> |
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<|im_start|>user |
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{user_message}<|im_end|> |
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<|im_start|>assistant |
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``` |
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|
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## Recommended Inference Parameters |
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|
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```yml |
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penalty_alpha: 0.5 |
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top_k: 4 |
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``` |
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## [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Felladrin__Llama-68M-Chat-v1) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |29.72| |
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|AI2 Reasoning Challenge (25-Shot)|23.29| |
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|HellaSwag (10-Shot) |28.27| |
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|MMLU (5-Shot) |25.18| |
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|TruthfulQA (0-shot) |47.27| |
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|Winogrande (5-shot) |54.30| |
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|GSM8k (5-shot) | 0.00| |
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