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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ ---
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+
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+ This is GGUF model of [saucam/aqua-qwen-0.1-110B](https://huggingface.co/saucam/aqua-qwen-0.1-110B)
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+
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+ ## Usage
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+
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+ Download the 2 files and requantize using [llama.cpp](https://github.com/ggerganov/llama.cpp). Then use the single generated file like below:
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+
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+ ```
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+ $ ./main -m ../aqua-qwen/ggml-model-Q4_K_M.gg
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+ uf -p "<|im_start|>user\nHow are you?<|im_end|>\n<|im_start|>assistant" -n 400 -e
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+ Log start
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+ main: build = 2874 (e0f55618)
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+ main: built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
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+ main: seed = 1715672499
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+ ...
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+ ...
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+ sampling order:
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+ CFG -> Penalties -> top_k -> tfs_z -> typical_p -> top_p -> min_p -> temperature
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+ generate: n_ctx = 512, n_batch = 2048, n_predict = 400, n_keep = 0
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+
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+
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+ ,<|im_start|>user
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+ How are you?<|im_end|>
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+ <|im_start|>assistant
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+ I am an AI, I do not have feelings. How can I assist you?<|im_end|> [end of text]
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+
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+ llama_print_timings: load time = 4065.12 ms
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+ llama_print_timings: sample time = 1.70 ms / 19 runs ( 0.09 ms per token, 11150.23 tokens per second)
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+ llama_print_timings: prompt eval time = 2898.40 ms / 12 tokens ( 241.53 ms per token, 4.14 tokens per second)
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+ llama_print_timings: eval time = 178067.55 ms / 18 runs ( 9892.64 ms per token, 0.10 tokens per second)
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+ llama_print_timings: total time = 181014.78 ms / 30 tokens
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+ Log end
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+ ```