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EleutherAI GPT Neox 20B 4bits by RichardErkhov

 »  All LLMs  »  RichardErkhov  »  EleutherAI GPT Neox 20B 4bits   URL Share it on

  9   
  Arxiv:2101.00027   Arxiv:2104.09864   Arxiv:2201.07311   Arxiv:2204.06745   4-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Gpt neox   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RichardErkhov/EleutherAI_-_gpt-neox-20b-4bits 

EleutherAI GPT Neox 20B 4bits Benchmarks

LLME Score: 0.18621
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EleutherAI GPT Neox 20B 4bits (RichardErkhov/EleutherAI_-_gpt-neox-20b-4bits)

EleutherAI GPT Neox 20B 4bits Parameters and Internals

Model Type 
Transformer-based Language Model, causal-lm
Use Cases 
Areas:
Research, Scientific uses
Primary Use Cases:
Extract features useful for downstream tasks
Limitations:
Not intended for deployment as-is, Not fine-tuned for downstream tasks such as writing genre prose or commercial chatbots, English-language only
Considerations:
Use in accordance with the Apache 2.0 license. Conduct your own risk and bias assessment when fine-tuning for specific tasks.
Additional Notes 
The model was trained on 'the Pile', which was not deduplicated before use. Contains texts with biases regarding gender, religion, and race. Curating outputs before presenting to a human reader is recommended.
Supported Languages 
en (Full)
Training Details 
Data Sources:
EleutherAI/pile
Methodology:
Autoregressive training using GPT-NeoX library
Context Length:
2048
Model Architecture:
Architecture resembles GPT-3 and is almost identical to that of GPT-J-6B.
LLM NameEleutherAI GPT Neox 20B 4bits
Repository 🤗https://huggingface.co/RichardErkhov/EleutherAI_-_gpt-neox-20b-4bits 
Model Size20b
Required VRAM12.5 GB
Updated2025-01-19
MaintainerRichardErkhov
Model Typegpt_neox
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   2.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.39.3
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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Release v20241227
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