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Selfbiorag 7B Wo Live Qa Iter Sft Step1 by Minbyul

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  Alignment-handbook   Autotrain compatible Base model:dmis-lab/selfbiorag... Base model:finetune:dmis-lab/s... Dataset:huggingfaceh4/deita-10...   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/Minbyul/selfbiorag-7b-wo-live_qa-iter-sft-step1 

Selfbiorag 7B Wo Live Qa Iter Sft Step1 Benchmarks

LLME Score: 0.1847
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Selfbiorag 7B Wo Live Qa Iter Sft Step1 (Minbyul/selfbiorag-7b-wo-live_qa-iter-sft-step1)

Selfbiorag 7B Wo Live Qa Iter Sft Step1 Parameters and Internals

Training Details 
Data Sources:
HuggingFaceH4/deita-10k-v0-sft
LLM NameSelfbiorag 7B Wo Live Qa Iter Sft Step1
Repository 🤗https://huggingface.co/Minbyul/selfbiorag-7b-wo-live_qa-iter-sft-step1 
Base Model(s)  Selfbiorag 7b   dmis-lab/selfbiorag_7b
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerMinbyul
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Minbyul/selfbiorag-7b-wo-live_qa-iter-sft-step1.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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