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Pythia 12B Deduped Synthetic Instruct by lambdalabs

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Pythia 12B Deduped Synthetic Instruct is an open-source language model by lambdalabs. Features: 12b LLM, VRAM: 47.6GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.06.

  Autotrain compatible Dataset:dahoas/synthetic-instr...   En   Endpoints compatible   Gpt neox   Instruct   Pythia   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lambdalabs/pythia-12b-deduped-synthetic-instruct 

Pythia 12B Deduped Synthetic Instruct Benchmarks

LLME Score: 0.06166
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 12B Deduped Synthetic Instruct (lambdalabs/pythia-12b-deduped-synthetic-instruct)
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Pythia 12B Deduped Synthetic Instruct Parameters and Internals

Model Type 
Transformer-based Language Model, Text Generation
Use Cases 
Areas:
Research, Commercial Applications
Primary Use Cases:
Language Generation
Supported Languages 
English (Full proficiency)
Training Details 
Data Sources:
Dahoas/synthetic-instruct-gptj-pairwise
Methodology:
Finetuning
Training Time:
17 hours
Hardware Used:
8xA100 80GB
Model Architecture:
Transformer
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use appropriate GPU memory for faster inference
LLM NamePythia 12B Deduped Synthetic Instruct
Repository 🤗https://huggingface.co/lambdalabs/pythia-12b-deduped-synthetic-instruct 
Model Size12b
Required VRAM47.6 GB
Updated2025-11-07
Maintainerlambdalabs
Model Typegpt_neox
Instruction-BasedYes
Model Files  9.9 GB: 1-of-5   9.7 GB: 2-of-5   9.7 GB: 3-of-5   10.0 GB: 4-of-5   8.3 GB: 5-of-5
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.25.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50278
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than lambdalabs/pythia-12b-deduped-synthetic-instruct.

Rank the Pythia 12B Deduped Synthetic Instruct 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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