What are the hardware requirements for E.star.7B Gguf?

E.star.7B Gguf requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed E.star.7B Gguf and how large is it?

E.star.7B Gguf is developed by gate369, a model with 7b 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 E.star.7B Gguf?

E.star.7B Gguf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

E.star.7B Gguf by gate369 — VRAM 4.4GB

Name: E.star.7B Gguf
Author: gate369

E.star.7B Gguf is an open-source language model by gate369. Features: 7b LLM, VRAM: 4.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Base model:quantized:yam-peleg... Base model:yam-peleg/experimen... En Endpoints compatible Gguf Mistral Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/gate369/e.star.7b-gguf

E.star.7B Gguf Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, gguf

Additional Notes

This is a mistral model trained with the Unsloth technology.

Training Details

Methodology:

Trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	E.star.7B Gguf
Repository 🤗	https://huggingface.co/gate369/e.star.7b-gguf
Base Model(s)	Experiment26 7B yam-peleg/Experiment26-7B
Model Size	7b
Required VRAM	4.4 GB
Updated	2026-07-26
Maintainer	gate369
Model Type	mistral
Model Files	4.4 GB 14.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the E.star.7B Gguf capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
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Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511

Note: green Score (e.g. "73.2") means that the model is better than gate369/e.star.7b-gguf.