StellarX 4B V0.2 by Dampish

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  Arxiv:2204.06745   Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded

StellarX 4B V0.2 Benchmarks

StellarX 4B V0.2 (Dampish/StellarX-4B-V0.2)

StellarX 4B V0.2 Parameters and Internals

Model Type 
autoregressive, language model
Use Cases 
Areas:
research, personal use
Applications:
natural language processing tasks
Limitations:
primarily for research purposes, not designed for human-facing interactions
Considerations:
Conduct risk and bias assessments before using for downstream tasks.
Additional Notes 
StellarX is not limited to the English language and can sometimes be used for translation and text generation in other languages. It draws inspiration from GPT-NeoX architecture.
Supported Languages 
English (primary)
Training Details 
Data Sources:
redpajama dataset by togethercumputer
Data Volume:
300B tokens training (goal 810B tokens)
Model Architecture:
GPT-NeoX
Release Notes 
Version:
0.2
Notes:
Trained on 300B tokens, goal is 810B tokens, higher future accuracy expected.
LLM NameStellarX 4B V0.2
Repository ๐Ÿค—https://huggingface.co/Dampish/StellarX-4B-V0.2 
Model Size4b
Required VRAM16 GB
Updated2025-02-22
MaintainerDampish
Model Typegpt_neox
Model Files  10.1 GB: 1-of-2   5.9 GB: 2-of-2   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 Typefloat32

Quantized Models of the StellarX 4B V0.2

Model
Likes
Downloads
VRAM
StellarX 4B V0.2 GPTQ1101 GB

Best Alternatives to StellarX 4B V0.2

Best Alternatives
Context / RAM
Downloads
Likes
Bilingual GPT Neox 4B2K / 7.7 GB510829
...al GPT Neox 4B Instruction Ppo2K / 7.7 GB83415
Sft Tldr Pythia 1 4b2K / 5.7 GB50
Tora 4B2K / 7.6 GB762
...x 4B Instruction Sft En Ja 84K2K / 7.6 GB891
...al GPT Neox 4B Instruction Sft2K / 7.6 GB36518
Bilingual GPT Neox 4B 8K2K / 7.7 GB5223
StellarX 4B V02K / 8.1 GB21181
StellarX 4B V0.2 GPTQ2K / 1.8 GB101
Note: green Score (e.g. "73.2") means that the model is better than Dampish/StellarX-4B-V0.2.

Rank the StellarX 4B V0.2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227