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  license: apache-2.0
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  tags:
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  - llama-cpp
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- - gguf-my-repo
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  base_model: newsbang/Homer-v0.5-Qwen2.5-7B
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  language:
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  - en
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  ---
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- # fuzzy-mittenz/Sakura_Warding-Qw2.5-7B-Q4_K_M-GGUF
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- This model was converted to GGUF format from [`newsbang/Homer-v0.5-Qwen2.5-7B`](https://huggingface.co/newsbang/Homer-v0.5-Qwen2.5-7B) 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/newsbang/Homer-v0.5-Qwen2.5-7B) for more details on the model. Math is better but contains slight courruption when contrasted with datasets previously trained on, Took a few Quantizations to get everything perfect.
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  ---
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  Model Named for personal system use, after multiple Quants this turned out to be the most functional for me,
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  ---
 
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  license: apache-2.0
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  tags:
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  - llama-cpp
 
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  base_model: newsbang/Homer-v0.5-Qwen2.5-7B
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  language:
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  - en
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  ---
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+ # IntelligentEstate/Sakura_Warding-Qw2.5-7B-Q4_K_M-GGUF
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+ This model was converted to GGUF format from [`newsbang/Homer-v0.5-Qwen2.5-7B`](https://huggingface.co/newsbang/Homer-v0.5-Qwen2.5-7B) using llama.cpp
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+ Refer to the [original model card](https://huggingface.co/newsbang/Homer-v0.5-Qwen2.5-7B) for more details on the model. Took a few Quantizations to get everything perfect.
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  ---
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  Model Named for personal system use, after multiple Quants this turned out to be the most functional for me,
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  ---