Triangle104
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README.md
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---
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base_model: PocketDoc/Dans-PersonalityEngine-v1.0.0-8b
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datasets:
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- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
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- PocketDoc/Dans-Prosemaxx-Gutenberg
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- PocketDoc/Dans-Prosemaxx-Cowriter-S
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- PocketDoc/Dans-Prosemaxx-Adventure
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- PocketDoc/Dans-Prosemaxx-Opus-Writing
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- PocketDoc/Dans-Assistantmaxx-Sharegpt
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- PocketDoc/Dans-Assistantmaxx-OpenAssistant2
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- PocketDoc/Dans-Assistantmaxx-Opus-instruct-1
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- PocketDoc/Dans-Assistantmaxx-Opus-instruct-2
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- PocketDoc/Dans-Assistantmaxx-Opus-instruct-3
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- PocketDoc/Dans-Assistantmaxx-Opus-Multi-Instruct
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- PocketDoc/Dans-Assistantmaxx-sonnetorca-subset
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- PocketDoc/Dans-Assistantmaxx-NoRobots
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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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- PJMixers/Math-Multiturn-1K-ShareGPT
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- PocketDoc/Dans-Benchmaxx
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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-Taskmaxx
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- PocketDoc/Dans-Taskmaxx-DataPrepper
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- PocketDoc/Dans-Taskmaxx-ConcurrentQA-Reworked
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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-ASCIIMaxx-Wordart
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- PocketDoc/Dans-Personamaxx
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- PocketDoc/DansTestYard
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- PocketDoc/Dans-Logicmaxx-Skunkworks
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language:
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- en
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- chemistry
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- biology
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- code
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- climate
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- text-generation-inference
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- llama-cpp
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- gguf-my-repo
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---
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# Triangle104/Dans-PersonalityEngine-v1.0.0-8b-Q4_K_M-GGUF
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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.
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Refer to the [original model card](https://huggingface.co/PocketDoc/Dans-PersonalityEngine-v1.0.0-8b) 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-v1.0.0-8b-Q4_K_M-GGUF --hf-file dans-personalityengine-v1.0.0-8b-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-v1.0.0-8b-Q4_K_M-GGUF --hf-file dans-personalityengine-v1.0.0-8b-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-v1.0.0-8b-Q4_K_M-GGUF --hf-file dans-personalityengine-v1.0.0-8b-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-v1.0.0-8b-Q4_K_M-GGUF --hf-file dans-personalityengine-v1.0.0-8b-q4_k_m.gguf -c 2048
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```
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