StellarX 4B V0.2 GPTQ by TheBloke

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

StellarX 4B V0.2 GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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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 NameStellarX 4B V0.2 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/StellarX-4B-V0.2-GPTQ 
Model NameSellarX 4B V0.2
Model CreatorDampish
Base Model(s)  Dampish/StellarX-4B-V0.2   Dampish/StellarX-4B-V0.2
Model Size4b
Required VRAM1.8 GB
Updated2024-12-02
MaintainerTheBloke
Model Typegpt_neox
Model Files  1.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-nc-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat32
StellarX 4B V0.2 GPTQ (TheBloke/StellarX-4B-V0.2-GPTQ)

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124