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StellarX 4B V0 by Dampish

By Dampish · 114 downloads

StellarX 4B V0 is an open-source language model by Dampish. Features: 4b LLM, VRAM: 8.1GB, Context: 2K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.11, Arc: 37, HellaSwag: 61.9, MMLU: 26.9.

  Arxiv:2204.06745   Endpoints compatible   Gpt neox   Pytorch   Region:us
Model Card on HF πŸ€—: https://huggingface.co/Dampish/StellarX-4B-V0 

StellarX 4B V0 Parameters and Internals

Model Type 
autoregressive, language model
Use Cases 
Areas:
Research, Personal use
Limitations:
Not designed for direct deployment without supervision, Potential biases and limitations inherent in the model
Considerations:
Users should conduct risk and bias assessments before using it for downstream tasks.
Additional Notes 
StellarX is optimized for carbon efficiency and can run on local devices. It is primarily intended for research and personal projects under the CC-BY-NC-SA-4.0 license.
Supported Languages 
English (Proficient)
Training Details 
Data Sources:
redpajama dataset by togethercumputer
Data Volume:
810 billion tokens
Model Architecture:
GPT-NeoX, inspired by GPT-3 and GPT-J-6B
Input Output 
Input Format:
Text
Accepted Modalities:
Text
Output Format:
Text
Release Notes 
Version:
V0
Notes:
Initial version trained on 300B tokens, with a goal of 810B tokens.
LLM NameStellarX 4B V0
Repository πŸ€—https://huggingface.co/Dampish/StellarX-4B-V0 
Model Size4b
Required VRAM8.1 GB
Updated2026-08-25
MaintainerDampish
Model Typegpt_neox
Model Files  8.1 GB   0.0 GB
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-nc-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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