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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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# Triangle104/Dans-PersonalityEngine-V1.1.0-12b-Q4_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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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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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-Q4_K_M-GGUF --hf-file dans-personalityengine-v1.1.0-12b-q4_k_m.gguf -p "The meaning to life and the universe is" |
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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-Q4_K_M-GGUF --hf-file dans-personalityengine-v1.1.0-12b-q4_k_m.gguf -c 2048 |
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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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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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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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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-Q4_K_M-GGUF --hf-file dans-personalityengine-v1.1.0-12b-q4_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-Q4_K_M-GGUF --hf-file dans-personalityengine-v1.1.0-12b-q4_k_m.gguf -c 2048 |
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``` |
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