---
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-Q4_K_M-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-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"
```

### Server:
```bash
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
```

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-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"
```
or 
```
./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
```