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Pythia 12B Pre V8.12.5K Steps by OpenAssistant

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  Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/OpenAssistant/pythia-12b-pre-v8-12.5k-steps 

Pythia 12B Pre V8.12.5K Steps Benchmarks

ARC: 41.47 vs 96.7 (so35)-57.1%
HellaSwag: 68.8 vs 95.3 (gpt4)-27.8%
MMLU: 26.58 vs 88.3 (so35)-69.9%
TruthfulQA: 36.82 vs 59 (gpt4)-37.6%
WinoGrande: 65.27 vs 87.5 (gpt4)-25.4%
GSM8K: 7.66 vs 96.4 (so35)-92.1%
LLME Score: 0.15972
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 12B Pre V8.12.5K Steps (OpenAssistant/pythia-12b-pre-v8-12.5k-steps)

Pythia 12B Pre V8.12.5K Steps Parameters and Internals

Model Type 
text generation
Additional Notes 
This is an intermediate model used as a base for further experiments, not intended for use.
Training Details 
Data Sources:
gpteacher_roleplay, red_pajama, wizardlm_70k, joke, poem_instructions, oa_stackexchange, tell_a_joke, webgpt, gpt4all, alpaca_gpt4, code_alpaca, vicuna, oig_file, minimath, humaneval_mbpp_codegen_qa, humaneval_mbpp_testgen_qa, grade_school_math_instructions, recipes, cmu_wiki_qa, oa_wiki_qa_bart_10000row, prosocial_dialogue, explain_prosocial, soda, oa_leet10k, dolly15k
Data Volume:
12.5k steps with batch-size 128
Methodology:
Instruction-tuning
Context Length:
2048
Model Architecture:
pythia-12b-pre-v8
LLM NamePythia 12B Pre V8.12.5K Steps
Repository 🤗https://huggingface.co/OpenAssistant/pythia-12b-pre-v8-12.5k-steps 
Model Size12b
Required VRAM23.8 GB
Updated2024-12-21
MaintainerOpenAssistant
Model Typegpt_neox
Model Files  10.0 GB: 1-of-3   9.9 GB: 2-of-3   3.9 GB: 3-of-3
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.28.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50288
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than OpenAssistant/pythia-12b-pre-v8-12.5k-steps.

Rank the Pythia 12B Pre V8.12.5K Steps 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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Release v20241217
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