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README.md
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datasets:
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- open-thoughts/open-thoughts-114k
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model-index:
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- name:
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results: []
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This model was converted to GGUF format from [`open-thoughts/OpenThinker-7B`](https://huggingface.co/open-thoughts/OpenThinker-7B) 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/open-thoughts/OpenThinker-7B) for more details on the model.
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This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the
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OpenThoughts-114k dataset dataset.
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The dataset is derived by distilling DeepSeek-R1 using the data pipeline available on github.
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More info about the dataset can be found on the dataset card at OpenThoughts-114k dataset.
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This model improves upon the Bespoke-Stratos-7B model, which used 17k examples (Bespoke-Stratos-17k dataset).
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The numbers reported in the table below are evaluated with our open-source tool Evalchemy.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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datasets:
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- open-thoughts/open-thoughts-114k
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model-index:
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- name: OpenThinker-7B
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results: []
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---
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This model was converted to GGUF format from [`open-thoughts/OpenThinker-7B`](https://huggingface.co/open-thoughts/OpenThinker-7B) 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/open-thoughts/OpenThinker-7B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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