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base_model: netcat420/MFANN3bv0.22
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# netcat420/MFANN3bv0.22-Q5_K_M-GGUF
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This model was converted to GGUF format from [`netcat420/MFANN3bv0.22`](https://huggingface.co/netcat420/MFANN3bv0.22) 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/netcat420/MFANN3bv0.22) for more details on the model.
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base_model: netcat420/MFANN3bv0.22
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https://huggingface.co/netcat420/MFANN-phigments-slerp-V2 trained on https://huggingface.co/datasets/netcat420/MFANN as of 10/25/24 acheiving a record low training loss of 0.16 for a 3b!
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system prompt:
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Instruct: {instruction} Output:
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benchmarks pending!
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# netcat420/MFANN3bv0.22-Q5_K_M-GGUF
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This model was converted to GGUF format from [`netcat420/MFANN3bv0.22`](https://huggingface.co/netcat420/MFANN3bv0.22) 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/netcat420/MFANN3bv0.22) for more details on the model.
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