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README.md

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+---
+base_model: PocketDoc/Dans-PersonalityEngine-v1.0.0-8b
+datasets:
+- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
+- PocketDoc/Dans-Prosemaxx-Gutenberg
+- PocketDoc/Dans-Prosemaxx-Cowriter-S
+- PocketDoc/Dans-Prosemaxx-Adventure
+- PocketDoc/Dans-Prosemaxx-Opus-Writing
+- PocketDoc/Dans-Assistantmaxx-Sharegpt
+- PocketDoc/Dans-Assistantmaxx-OpenAssistant2
+- PocketDoc/Dans-Assistantmaxx-Opus-instruct-1
+- PocketDoc/Dans-Assistantmaxx-Opus-instruct-2
+- PocketDoc/Dans-Assistantmaxx-Opus-instruct-3
+- PocketDoc/Dans-Assistantmaxx-Opus-Multi-Instruct
+- PocketDoc/Dans-Assistantmaxx-sonnetorca-subset
+- PocketDoc/Dans-Assistantmaxx-NoRobots
+- AquaV/Energetic-Materials-Sharegpt
+- AquaV/Chemical-Biological-Safety-Applications-Sharegpt
+- AquaV/US-Army-Survival-Sharegpt
+- AquaV/Resistance-Sharegpt
+- AquaV/Interrogation-Sharegpt
+- AquaV/Multi-Environment-Operations-Sharegpt
+- PocketDoc/Dans-Mathmaxx
+- PJMixers/Math-Multiturn-1K-ShareGPT
+- PocketDoc/Dans-Benchmaxx
+- PocketDoc/Dans-Codemaxx-LeetCode
+- PocketDoc/Dans-Codemaxx-CodeFeedback-Conversations
+- PocketDoc/Dans-Codemaxx-CodeFeedback-SingleTurn
+- PocketDoc/Dans-Taskmaxx
+- PocketDoc/Dans-Taskmaxx-DataPrepper
+- PocketDoc/Dans-Taskmaxx-ConcurrentQA-Reworked
+- PocketDoc/Dans-Systemmaxx
+- PocketDoc/Dans-Toolmaxx-Agent
+- PocketDoc/Dans-Toolmaxx-ShellCommands
+- PocketDoc/Dans-ASCIIMaxx-Wordart
+- PocketDoc/Dans-Personamaxx
+- PocketDoc/DansTestYard
+- PocketDoc/Dans-Logicmaxx-Skunkworks
+language:
+- en
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- chemistry
+- biology
+- code
+- climate
+- text-generation-inference
+- llama-cpp
+- gguf-my-repo
+---
+
+# Triangle104/Dans-PersonalityEngine-v1.0.0-8b-Q5_K_S-GGUF
+This model was converted to GGUF format from [`PocketDoc/Dans-PersonalityEngine-v1.0.0-8b`](https://huggingface.co/PocketDoc/Dans-PersonalityEngine-v1.0.0-8b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/PocketDoc/Dans-PersonalityEngine-v1.0.0-8b) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo Triangle104/Dans-PersonalityEngine-v1.0.0-8b-Q5_K_S-GGUF --hf-file dans-personalityengine-v1.0.0-8b-q5_k_s.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo Triangle104/Dans-PersonalityEngine-v1.0.0-8b-Q5_K_S-GGUF --hf-file dans-personalityengine-v1.0.0-8b-q5_k_s.gguf -c 2048
+```
+
+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.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+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).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo Triangle104/Dans-PersonalityEngine-v1.0.0-8b-Q5_K_S-GGUF --hf-file dans-personalityengine-v1.0.0-8b-q5_k_s.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Triangle104/Dans-PersonalityEngine-v1.0.0-8b-Q5_K_S-GGUF --hf-file dans-personalityengine-v1.0.0-8b-q5_k_s.gguf -c 2048
+```