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Archangel Sft Pythia6 9B by ContextualAI

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Model Card on HF 🤗: https://huggingface.co/ContextualAI/archangel_sft_pythia6-9b 

Archangel Sft Pythia6 9B Benchmarks

LLME Score: 0.14681
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Archangel Sft Pythia6 9B (ContextualAI/archangel_sft_pythia6-9b)

Archangel Sft Pythia6 9B Parameters and Internals

Model Type 
text generation
Additional Notes 
To prompt Archangel models, ensure consistent formatting with TuluV2. The tokenizer includes '<|good|>' and '<|bad|>' for contextual control tokens.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
stanfordnlp/SHP, Anthropic/hh-rlhf, OpenAssistant/oasst1
Methodology:
SFT (Supervised Fine-Tuning), RLHF (Reinforcement Learning with Human Feedback)
Input Output 
Input Format:
Formatted input with roles <|user|> and <|assistant|>
Accepted Modalities:
text
Output Format:
Text-based response
LLM NameArchangel Sft Pythia6 9B
Repository 🤗https://huggingface.co/ContextualAI/archangel_sft_pythia6-9b 
Model Size9b
Required VRAM13.8 GB
Updated2025-02-22
MaintainerContextualAI
Model Typegpt_neox
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.8 GB: 3-of-3
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50432
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ContextualAI/archangel_sft_pythia6-9b.

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Instruction Following and Task Automation  
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Release v20241227
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