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SELM Zephyr 7B Iter 2 by Katayoon

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  Alignment-handbook   Autotrain compatible Base model:finetune:katayoon/s... Base model:katayoon/selm-zephy...   Conversational   Dataset:original   Dataset:updated   Dpo   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/Katayoon/SELM-Zephyr-7B-iter-2 

SELM Zephyr 7B Iter 2 Benchmarks

LLME Score: 0.20688
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SELM Zephyr 7B Iter 2 (Katayoon/SELM-Zephyr-7B-iter-2)

SELM Zephyr 7B Iter 2 Parameters and Internals

Training Details 
Data Sources:
updated, original
Hardware Used:
16 GPUs
LLM NameSELM Zephyr 7B Iter 2
Repository 🤗https://huggingface.co/Katayoon/SELM-Zephyr-7B-iter-2 
Base Model(s)  SELM Zephyr 7B Iter 1   Katayoon/SELM-Zephyr-7B-iter-1
Model Size7b
Required VRAM14.4 GB
Updated2025-01-24
MaintainerKatayoon
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Katayoon/SELM-Zephyr-7B-iter-2.

Rank the SELM Zephyr 7B Iter 2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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