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Expert Min Pile Instruct by Multi-Domain-Expert-Learning

 »  All LLMs  »  Multi-Domain-Expert-Learning  »  Expert Min Pile Instruct   URL Share it on

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Expert Min Pile Instruct is an open-source language model by Multi-Domain-Expert-Learning. Features: 1b LLM, VRAM: 2.1GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.08.

  Autotrain compatible   Endpoints compatible   Generated from trainer   Gpt neox   Instruct   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/Multi-Domain-Expert-Learning/expert-min-pile-instruct 

Expert Min Pile Instruct Benchmarks

LLME Score: 0.07667
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Expert Min Pile Instruct (Multi-Domain-Expert-Learning/expert-min-pile-instruct)
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Expert Min Pile Instruct Parameters and Internals

Model Type 
text-generation
Additional Notes 
Wandb Report available at: https://wandb.ai/ontocord/pythia-1b-deduped-layer-test-min-pile-instruct/runs/kqlipkt3
Training Details 
Hardware Used:
multi-GPU, num_devices: 8
LLM NameExpert Min Pile Instruct
Repository 🤗https://huggingface.co/Multi-Domain-Expert-Learning/expert-min-pile-instruct 
Model Size1b
Required VRAM2.1 GB
Updated2025-10-08
MaintainerMulti-Domain-Expert-Learning
Model Typegpt_neox
Instruction-BasedYes
Model Files  2.1 GB   0.0 GB
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50279
Torch Data Typefloat16

Best Alternatives to Expert Min Pile Instruct

Best Alternatives
Context / RAM
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B1ade 1B2K / 2 GB18570
...hia 1B Deduped Instruct Ckpt 22K / 2.1 GB60
...hia 1B Deduped Instruct Ckpt 12K / 2.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than Multi-Domain-Expert-Learning/expert-min-pile-instruct.

Rank the Expert Min Pile Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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