What are the hardware requirements for LCARS TOP SCORE?

LCARS TOP SCORE requires approximately 14.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LCARS TOP SCORE and how large is it?

LCARS TOP SCORE is developed by LeroyDyer, a model with 7.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate LCARS TOP SCORE?

LCARS TOP SCORE is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LCARS TOP SCORE by LeroyDyer — VRAM 14.5GB, 32K context

Name: LCARS TOP SCORE
Author: LeroyDyer

LCARS TOP SCORE is an open-source language model by LeroyDyer. Features: 7.2b LLM, VRAM: 14.5GB, Context: 32K, License: openrail, LLM Explorer Score: 0.17.

Base model:chihoonlee10/t3q-mi... Base model:finetune:chihoonlee... Biology Chemistry Climate Code Conversational En Endpoints compatible Finance Legal Medical Mistral Model-index Music Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/LeroyDyer/LCARS_TOP_SCORE

LCARS TOP SCORE Parameters and Internals

Model Type

text-generation-inference

Additional Notes

Ranked highly on the Open LLM Leaderboard

Supported Languages

en (unknown)

LLM Name	LCARS TOP SCORE
Repository 🤗	https://huggingface.co/LeroyDyer/LCARS_TOP_SCORE
Base Model(s)	T3Q Mistral Orca Math DPO Experiment26 7B M7 7B LeroyDyer/Mixtral_AI_Cyber_3.1_SFT chihoonlee10/T3Q-Mistral-Orca-Math-DPO yam-peleg/Experiment26-7B liminerity/M7-7b LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
Model Size	7.2b
Required VRAM	14.5 GB
Updated	2026-08-05
Maintainer	LeroyDyer
Model Type	mistral
Model Files	1.9 GB: 1-of-8 2.0 GB: 2-of-8 1.9 GB: 3-of-8 2.0 GB: 4-of-8 1.9 GB: 5-of-8 2.0 GB: 6-of-8 1.9 GB: 7-of-8 0.9 GB: 8-of-8
Supported Languages	en
Model Architecture	MistralForCausalLM
License	openrail
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the LCARS TOP SCORE capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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...Web AI HumanAI 012 INSTRUCT XA	512K / 14.4 GB	9	0
...Web AI HumanAI 012 INSTRUCT IA	512K / 14.4 GB	8	0
...Web AI HumanAI 011 INSTRUCT ML	512K / 14.4 GB	7	0
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SpydazWeb HumanAI M2	512K / GB	38	0
...dazWeb AI HumanAI 011 INSTRUCT	512K / 14.4 GB	14	1
SpydazWeb AI HumanAI 009 CHAT	512K / 14.4 GB	6	0
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...Web AI HumanAI 012 INSTRUCT MX	512K / 14.4 GB	8	0
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Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/LCARS_TOP_SCORE.