What are the hardware requirements for StellarX 4B V0.2 GPTQ?

StellarX 4B V0.2 GPTQ requires approximately 1.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed StellarX 4B V0.2 GPTQ and how large is it?

StellarX 4B V0.2 GPTQ is developed by TheBloke, a model with 4b 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 StellarX 4B V0.2 GPTQ?

StellarX 4B V0.2 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

StellarX 4B V0.2 GPTQ by TheBloke — VRAM 1.8GB, 2K context

Name: StellarX 4B V0.2 GPTQ
Author: TheBloke

StellarX 4B V0.2 GPTQ is an open-source language model by TheBloke. Features: 4b LLM, VRAM: 1.8GB, Context: 2K, License: cc-by-nc-sa-4.0, Quantized, LLM Explorer Score: 0.09.

Arxiv:2204.06745 4-bit Base model:dampish/stellarx-4b... Base model:quantized:dampish/s... Gpt neox Gptq Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/StellarX-4B-V0.2-GPTQ

StellarX 4B V0.2 GPTQ Parameters and Internals

Model Type

gptneox, autoregressive

Additional Notes

Designed for personal and research use with restrictions on commercial purposes. Known for its resource-efficiency and ability to run on local devices.

Training Details

Data Sources:

redpajama, togethercumputer

Data Volume:

810 billion tokens (trained on 300 billion tokens)

Model Architecture:

GPT-NeoX

Input Output

Input Format:

{prompt}

LLM Name	StellarX 4B V0.2 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/StellarX-4B-V0.2-GPTQ
Model Name	SellarX 4B V0.2
Model Creator	Dampish
Base Model(s)	Dampish/StellarX-4B-V0.2 Dampish/StellarX-4B-V0.2
Model Size	4b
Required VRAM	1.8 GB
Updated	2026-08-07
Maintainer	TheBloke
Model Type	gpt_neox
Model Files	1.8 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	GPTNeoXForCausalLM
License	cc-by-nc-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.29.2
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	float32

Rank the StellarX 4B V0.2 GPTQ 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

Best Alternatives to StellarX 4B V0.2 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Bilingual GPT Neox 4B	2K / 7.7 GB	3150	27
...al GPT Neox 4B Instruction Sft	2K / 7.6 GB	932	17
Bilingual GPT Neox 4B 8K	2K / 7.7 GB	10	22
...al GPT Neox 4B Instruction Ppo	2K / 7.7 GB	10	14
Sft Tldr Pythia 1 4b	2K / 5.7 GB	5	0
Tora 4B	2K / 7.6 GB	7	2
...x 4B Instruction Sft En Ja 84K	2K / 7.6 GB	8	1
StellarX 4B V0.2	2K / 16 GB	54	2
StellarX 4B V0	2K / 8.1 GB	114	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/StellarX-4B-V0.2-GPTQ.