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--- |
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language: |
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- en |
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tags: |
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- Llama-3 |
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- instruct |
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- finetune |
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- chatml |
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- DPO |
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- RLHF |
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- gpt4 |
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- synthetic data |
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- distillation |
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- function calling |
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- json mode |
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- axolotl |
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- llama-cpp |
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- gguf-my-repo |
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base_model: NousResearch/Meta-Llama-3-8B |
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datasets: |
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- teknium/OpenHermes-2.5 |
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widget: |
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- example_title: Hermes 2 Pro |
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messages: |
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- role: system |
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content: >- |
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You are a sentient, superintelligent artificial general intelligence, here |
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to teach and assist me. |
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- role: user |
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content: >- |
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Write a short story about Goku discovering kirby has teamed up with Majin |
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Buu to destroy the world. |
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model-index: |
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- name: Hermes-2-Pro-Llama-3-8B |
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results: [] |
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--- |
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# tinybiggames/Hermes-2-Pro-Llama-3-8B-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`NousResearch/Hermes-2-Pro-Llama-3-8B`](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B) 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/NousResearch/Hermes-2-Pro-Llama-3-8B) for more details on the model. |
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## Use with tinyBigGAMES's [Inference](https://github.com/tinyBigGAMES) Libraries. |
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How to configure LMEngine: |
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```Delphi |
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InitConfig( |
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'C:/LLM/gguf', // path to model files |
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-1 // number of GPU layer, -1 to use all available layers |
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); |
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``` |
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|
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How to define model: |
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|
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```Delphi |
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DefineModel('hermes-2-pro-llama-3-8b.Q4_K_M.gguf', |
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'hermes-2-pro-llama-3-8b.Q4_K_M', 8000, '<|im_start|>{role}\n{content}<|im_end|>\n', |
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'<|im_start|>assistant'); |
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``` |
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How to add a message: |
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```Delphi |
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AddMessage( |
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ROLE_USER, // role |
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'What is AI?' // content |
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); |
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``` |
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`{role}` - will be substituted with the message "role" |
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`{content}` - will be substituted with the message "content" |
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How to do inference: |
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|
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```Delphi |
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var |
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LTokenOutputSpeed: Single; |
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LInputTokens: Int32; |
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LOutputTokens: Int32; |
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LTotalTokens: Int32; |
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if RunInference('hermes-2-pro-llama-3-8b.Q4_K_M', 1024) then |
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begin |
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GetInferenceStats(nil, @LTokenOutputSpeed, @LInputTokens, @LOutputTokens, |
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@LTotalTokens); |
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PrintLn('', FG_WHITE); |
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PrintLn('Tokens :: Input: %d, Output: %d, Total: %d, Speed: %3.1f t/s', |
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FG_BRIGHTYELLOW, LInputTokens, LOutputTokens, LTotalTokens, LTokenOutputSpeed); |
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end |
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else |
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begin |
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PrintLn('', FG_WHITE); |
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PrintLn('Error: %s', FG_RED, GetError()); |
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end; |
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``` |