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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ language:
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+ - en
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+ base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
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+ tags:
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+ - general-purpose
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+ - roleplay
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+ - storywriting
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+ - chemistry
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+ - biology
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+ - code
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+ - climate
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+ - axolotl
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+ - text-generation-inference
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+ - finetune
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+ - llama-cpp
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+ - gguf-my-repo
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+ datasets:
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+ - PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
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+ - AquaV/Energetic-Materials-Sharegpt
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+ - AquaV/Chemical-Biological-Safety-Applications-Sharegpt
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+ - AquaV/US-Army-Survival-Sharegpt
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+ - AquaV/Resistance-Sharegpt
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+ - AquaV/Interrogation-Sharegpt
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+ - AquaV/Multi-Environment-Operations-Sharegpt
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+ - PocketDoc/Dans-Mathmaxx
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+ - PocketDoc/Dans-Mathmaxx-Numina-CoT
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+ - PJMixers/Math-Multiturn-1K-ShareGPT
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+ - PocketDoc/Dans-Benchmaxx
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+ - PocketDoc/Dans-Benchmaxx-COT
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+ - PocketDoc/Dans-Codemaxx-LeetCode
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+ - PocketDoc/Dans-Codemaxx-CodeFeedback-Conversations
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+ - PocketDoc/Dans-Codemaxx-CodeFeedback-SingleTurn
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+ - PocketDoc/Dans-Codemaxx-Bigcode-SelfInstruct
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+ - PocketDoc/Dans-Taskmaxx
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+ - PocketDoc/Dans-Taskmaxx-DataPrepper
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+ - PocketDoc/Dans-Taskmaxx-ConcurrentQA-Reworked
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+ - PocketDoc/Dans-Taskmaxx-TableGPT
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+ - PocketDoc/Dans-Taskmaxx-SciRIFF
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+ - PocketDoc/Dans-Taskmaxx-Edit
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+ - PocketDoc/Dans-Systemmaxx
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+ - PocketDoc/Dans-Toolmaxx-Agent
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+ - PocketDoc/Dans-Toolmaxx-ShellCommands
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+ - PocketDoc/Dans-Toolmaxx-Functions-Toolbench
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+ - PocketDoc/Dans-Toolmaxx-Functions-ToolACE
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+ - PocketDoc/Dans-Toolmaxx-Functions-apigen
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+ - PocketDoc/Dans-ASCIIMaxx-Wordart
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+ - PocketDoc/Dans-Prosemaxx-Gutenberg
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+ - PocketDoc/Dans-Prosemaxx-Cowriter-M
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+ - PocketDoc/Dans-Prosemaxx-Adventure
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+ - PocketDoc/Dans-Prosemaxx-Gryphe-GPT4o-WritingPrompts
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+ - PocketDoc/Dans-Assistantmaxx-Sharegpt
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+ - PocketDoc/Dans-Assistantmaxx-OpenAssistant2
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+ - PocketDoc/Dans-Assistantmaxx-Opus-Merge
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+ - PocketDoc/Dans-Assistantmaxx-sonnetorca-subset
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+ - PocketDoc/Dans-Assistantmaxx-sonnetorca-subset-2
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+ - PocketDoc/Dans-Assistantmaxx-NoRobots
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+ - PocketDoc/Dans-Assistantmaxx-Synthia
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+ - PocketDoc/Dans-Assistantmaxx-ASL
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+ - PocketDoc/Dans-Assistantmaxx-PersonaLLM-Opus
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+ - PocketDoc/Dans-Assistantmaxx-UnnaturalInstructions-GPT4
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+ - PocketDoc/Dans-Assistantmaxx-LongAlign
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+ - PocketDoc/Dans-Assistantmaxx-EvolKit
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+ - PocketDoc/Dans-Assistantmaxx-Camel-GPT4
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+ - PocketDoc/Dans-Assistantmaxx-Tulu3-IF
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+ - PocketDoc/Dans-Logicmaxx-Skunkworks
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+ - PocketDoc/Dans-Logicmaxx-SAT-AP
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+ - PocketDoc/Dans-Logicmaxx-Magpie-Ultra
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+ - PJMixers/grimulkan_theory-of-mind-ShareGPT
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+ - PJMixers/grimulkan_physical-reasoning-ShareGPT
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+ - PocketDoc/Dans-Personamaxx
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+ - PocketDoc/Dans-Personamaxx-Rainy
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+ - PocketDoc/Dans-Personamaxx-Aesir
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+ - PocketDoc/Dans-Kinomaxx-VanillaBackrooms
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: Dans-PersonalityEngine-V1.1.0-12b
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+ results: []
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+ ---
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+
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+ # Triangle104/Dans-PersonalityEngine-V1.1.0-12b-Q5_K_M-GGUF
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+ This model was converted to GGUF format from [`PocketDoc/Dans-PersonalityEngine-V1.1.0-12b`](https://huggingface.co/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b) 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/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b) for more details on the model.
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+
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+ ## Use with llama.cpp
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+ Install llama.cpp through brew (works on Mac and Linux)
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+
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+ ```bash
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+ brew install llama.cpp
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+
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+ ```
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+ Invoke the llama.cpp server or the CLI.
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+
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+ ### CLI:
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+ ```bash
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+ llama-cli --hf-repo Triangle104/Dans-PersonalityEngine-V1.1.0-12b-Q5_K_M-GGUF --hf-file dans-personalityengine-v1.1.0-12b-q5_k_m.gguf -p "The meaning to life and the universe is"
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+ ```
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+
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+ ### Server:
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+ ```bash
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+ llama-server --hf-repo Triangle104/Dans-PersonalityEngine-V1.1.0-12b-Q5_K_M-GGUF --hf-file dans-personalityengine-v1.1.0-12b-q5_k_m.gguf -c 2048
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+ ```
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+
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+ Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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+
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+ Step 1: Clone llama.cpp from GitHub.
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+ ```
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+ git clone https://github.com/ggerganov/llama.cpp
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+ ```
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+
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+ Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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+ ```
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+ cd llama.cpp && LLAMA_CURL=1 make
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+ ```
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+
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+ Step 3: Run inference through the main binary.
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+ ```
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+ ./llama-cli --hf-repo Triangle104/Dans-PersonalityEngine-V1.1.0-12b-Q5_K_M-GGUF --hf-file dans-personalityengine-v1.1.0-12b-q5_k_m.gguf -p "The meaning to life and the universe is"
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+ ```
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+ or
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+ ```
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+ ./llama-server --hf-repo Triangle104/Dans-PersonalityEngine-V1.1.0-12b-Q5_K_M-GGUF --hf-file dans-personalityengine-v1.1.0-12b-q5_k_m.gguf -c 2048
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+ ```