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--- |
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language: |
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- en |
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license: llama2 |
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library_name: transformers |
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tags: |
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- mistral |
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- merge |
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datasets: |
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- stingning/ultrachat |
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- garage-bAInd/Open-Platypus |
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- Open-Orca/OpenOrca |
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- TIGER-Lab/MathInstruct |
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- OpenAssistant/oasst_top1_2023-08-25 |
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- teknium/openhermes |
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- meta-math/MetaMathQA |
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- Open-Orca/SlimOrca |
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pipeline_tag: text-generation |
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base_model: |
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- Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp |
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- ehartford/dolphin-2.1-mistral-7b |
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- Open-Orca/Mistral-7B-OpenOrca |
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- bhenrym14/mistral-7b-platypus-fp16 |
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- ehartford/samantha-1.2-mistral-7b |
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- iteknium/CollectiveCognition-v1.1-Mistral-7B |
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- HuggingFaceH4/zephyr-7b-alpha |
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model-index: |
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- name: sethuiyer/SynthIQ-7b |
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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: 65.87 |
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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=sethuiyer/SynthIQ-7b |
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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: 85.82 |
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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=sethuiyer/SynthIQ-7b |
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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: 64.75 |
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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=sethuiyer/SynthIQ-7b |
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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: 57 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/SynthIQ-7b |
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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: 78.69 |
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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=sethuiyer/SynthIQ-7b |
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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: 64.06 |
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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=sethuiyer/SynthIQ-7b |
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name: Open LLM Leaderboard |
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--- |
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<p align="center"> |
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<img src="https://codeberg.org/aninokuma/DeydooAssistant/raw/branch/main/logo.webp" height="256px" alt="SynthIQ"> |
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</p> |
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# SynthIQ |
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This is SynthIQ, rated **92.23/100** by GPT-4 across varied complex prompts. I used [mergekit](https://github.com/cg123/mergekit) to merge models. |
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| Benchmark Name | Score | |
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| ---------------- | ----- | |
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| ARC | 65.87 | |
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| HellaSwag | 85.82 | |
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| MMLU | 64.75 | |
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| TruthfulQA | 57.00 | |
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| Winogrande | 78.69 | |
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| GSM8K | 64.06 | |
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| AGIEval | 42.67 | |
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| GPT4All | 73.71 | |
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| Bigbench | 44.59 | |
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## Update - 19/01/2024 |
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Tested to work well with autogen and CrewAI |
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GGUF Files |
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[Q4_K_M](https://huggingface.co/sethuiyer/SynthIQ_GGUF/blob/main/synthiq.Q4_K_M.gguf) - medium, balanced quality - recommended |
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[Q_6_K](https://huggingface.co/sethuiyer/SynthIQ_GGUF/blob/main/synthiq.Q6_K.gguf) - very large, extremely low quality loss |
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[Q8_0](https://huggingface.co/sethuiyer/SynthIQ_GGUF/blob/main/synthiq.Q8.gguf) - very large, extremely low quality loss - not recommended |
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**Important Update**: SynthIQ is now available on Ollama. You can use it by running the command ```ollama run stuehieyr/synthiq``` in your |
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terminal. If you have limited computing resources, check out this [video](https://www.youtube.com/watch?v=Qa1h7ygwQq8) to learn how to run it on |
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a Google Colab backend. |
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# Yaml Config |
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```yaml |
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slices: |
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- sources: |
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- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp |
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layer_range: [0, 32] |
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- model: uukuguy/speechless-mistral-six-in-one-7b |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: mistralai/Mistral-7B-v0.1 |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 # fallback for rest of tensors |
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tokenizer_source: union |
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dtype: bfloat16 |
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``` |
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<!-- prompt-template start --> |
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## Prompt template: ChatML |
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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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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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<!-- prompt-template end --> |
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License is LLama2 license as uukuguy/speechless-mistral-six-in-one-7b is llama2 license. |
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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_sethuiyer__SynthIQ-7b) |
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# [Nous Benchmark Evalation Results](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard) |
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Detailed results can be found [here](https://gist.github.com/sethuiyer/f47dee388a4e95d46181c98d37d66a58) |
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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_sethuiyer__SynthIQ-7b) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |69.37| |
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|AI2 Reasoning Challenge (25-Shot)|65.87| |
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|HellaSwag (10-Shot) |85.82| |
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|MMLU (5-Shot) |64.75| |
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|TruthfulQA (0-shot) |57.00| |
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|Winogrande (5-shot) |78.69| |
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|GSM8k (5-shot) |64.06| |
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