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Pythia 12B Sft V8 7K Steps by OpenAssistant

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  Autotrain compatible   En   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sft   Sharded
Model Card on HF 🤗: https://huggingface.co/OpenAssistant/pythia-12b-sft-v8-7k-steps 

Pythia 12B Sft V8 7K Steps Benchmarks

ARC: 44.03 vs 96.7 (so35)-54.5%
HellaSwag: 70.28 vs 95.3 (gpt4)-26.3%
MMLU: 26.55 vs 88.3 (so35)-69.9%
TruthfulQA: 36.53 vs 59 (gpt4)-38.1%
WinoGrande: 65.27 vs 87.5 (gpt4)-25.4%
GSM8K: 10.61 vs 96.4 (so35)-89%
LLME Score: 0.16269
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pythia 12B Sft V8 7K Steps (OpenAssistant/pythia-12b-sft-v8-7k-steps)

Pythia 12B Sft V8 7K Steps Parameters and Internals

Model Type 
text generation
Supported Languages 
en (fluent), bg (basic), ca (basic), cs (basic), da (basic), de (fluent), es (fluent), fr (fluent), hr (basic), hu (basic), it (fluent), nl (basic), pl (basic), pt (basic), ro (basic), ru (basic), sl (basic), sr (basic), sv (basic), uk (basic)
Training Details 
Data Sources:
oasst_export, vicuna, dolly15k, grade_school_math_instructions, code_alpaca, red_pajama, wizardlm_70k, poem_instructions
Data Volume:
2023-05-06_OASST_labels.jsonl.gz
Context Length:
2048
LLM NamePythia 12B Sft V8 7K Steps
Repository 🤗https://huggingface.co/OpenAssistant/pythia-12b-sft-v8-7k-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
Supported Languagesen
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-sft-v8-7k-steps.

Rank the Pythia 12B Sft V8 7K Steps Capabilities

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Instruction Following and Task Automation  
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Release v20241217
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