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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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  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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  [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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- **Update**: Available on Ollama! ```ollama run stuehieyr/synthiq```
 
 
 
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  # Yaml Config
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  In summary, based on the evidence from our conversation, SynthIQ can be considered a very capable and advanced AI model, demonstrating a blend of analytical acumen, creative intelligence, and effective communication skills.
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  License is LLama2 license as uukuguy/speechless-mistral-six-in-one-7b is llama2 license.
 
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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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  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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  [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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+
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  # Yaml Config
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  In summary, based on the evidence from our conversation, SynthIQ can be considered a very capable and advanced AI model, demonstrating a blend of analytical acumen, creative intelligence, and effective communication skills.
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  License is LLama2 license as uukuguy/speechless-mistral-six-in-one-7b is llama2 license.