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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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- llama-cpp |
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- gguf-my-repo |
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base_model: |
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- teknium/OpenHermes-2.5-Mistral-7B |
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- Intel/neural-chat-7b-v3-3 |
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model-index: |
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- name: OpenHermes-2.5-neural-chat-v3-3-Slerp |
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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: 68.09 |
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name: normalized accuracy |
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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: 86.2 |
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name: normalized accuracy |
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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: |
|
- type: acc |
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value: 64.26 |
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name: accuracy |
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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: 62.78 |
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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: |
|
- type: acc |
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value: 79.16 |
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name: accuracy |
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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: |
|
- type: acc |
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value: 67.78 |
|
name: accuracy |
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--- |
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|
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# DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q6_K-GGUF |
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This model was converted to GGUF format from [`Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp`](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp) for more details on the model. |
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## Use with llama.cpp |
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|
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Install llama.cpp through brew. |
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|
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```bash |
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brew install ggerganov/ggerganov/llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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CLI: |
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```bash |
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llama-cli --hf-repo DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q6_K-GGUF --model openhermes-2.5-neural-chat-v3-3-slerp.Q6_K.gguf -p "The meaning to life and the universe is" |
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``` |
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Server: |
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|
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```bash |
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llama-server --hf-repo DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q6_K-GGUF --model openhermes-2.5-neural-chat-v3-3-slerp.Q6_K.gguf -c 2048 |
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``` |
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|
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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|
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``` |
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git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m openhermes-2.5-neural-chat-v3-3-slerp.Q6_K.gguf -n 128 |
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``` |
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|