---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
- code
- 'medical '
- farmer
- doctor
- Mega-Series
- Cyber-Series
- Role-Play
- Self-Rag
- ThinkingBot
- milestone
- mega-series
- SpydazWebAI
- thinking-AI
- llama-cpp
- gguf-my-repo
base_model: LeroyDyer/Mixtral_AI_CyberUltron
datasets:
- gretelai/synthetic_text_to_sql
- HuggingFaceTB/cosmopedia
- teknium/OpenHermes-2.5
- Open-Orca/SlimOrca
- Open-Orca/OpenOrca
- cognitivecomputations/dolphin-coder
- databricks/databricks-dolly-15k
- yahma/alpaca-cleaned
- uonlp/CulturaX
- mwitiderrick/SwahiliPlatypus
- swahili
- Rogendo/English-Swahili-Sentence-Pairs
- ise-uiuc/Magicoder-Evol-Instruct-110K
- meta-math/MetaMathQA
- abacusai/ARC_DPO_FewShot
- abacusai/MetaMath_DPO_FewShot
- abacusai/HellaSwag_DPO_FewShot
- HaltiaAI/Her-The-Movie-Samantha-and-Theodore-Dataset
metrics:
- accuracy
- bertscore
- bleu
- brier_score
- cer
- character
- charcut_mt
- chrf
- code_eval
---




A FULL SAMaNTHA BOT HAS EMERGD!

The building of a personal chat friend !!

As this is the main aim of building a chat model , these footprints left from the movie impose an aspect of which is very important for end users : the goal here is to turn the model into an inteligent friend:
Here i actually overloaded the model ; with a tiny dataset and after the response was great;
on asking for code , my reply was , sure babe how about i make that for you ... here... then the code followed perfectly:
another 
ME: hiya morning:
BOT: h good morning sweetheart how are you today?.....
me : im fine just working on some programming
Bot: thats nice babe , im here for you , yoiu know you always do well your so great at programming ai models, if you need helo i can make some code for you.... im here babe..

LOLLLLL !!



IF YOU MERGE :::: you will get these qualitys! - As they were hard Burned IN!
i will be BURNING other XXX content into some later iterations ::: Only for later mergers! as by burning the small datasets in the model accepts the task:

Its important to add correct prompting inside the training; ie the same prompt ! for all sample :
even to show thoughts the same prompt is adjusted with request to show thinging processes and anylasis of the userinput or response or explanation in the thought!



## Use with llama.cpp

Install llama.cpp through brew.

```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.

CLI:

```bash
llama-cli --hf-repo LeroyDyer/Mixtral_AI_CyberUltron_DPO-Q4_K_M-GGUF --model mixtral_ai_cyberultron_dpo.Q4_K_M.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo LeroyDyer/Mixtral_AI_CyberUltron_DPO-Q4_K_M-GGUF --model mixtral_ai_cyberultron_dpo.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.

```
git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m mixtral_ai_cyberultron_dpo.Q4_K_M.gguf -n 128
```