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Llama3 8B Instruct Wo Kqa Silver Wogold Iter Sft Step1 by Minbyul

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  Alignment-handbook   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:huggingfaceh4/deita-10...   Endpoints compatible   Generated from trainer   Instruct   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/Minbyul/llama3-8b-instruct-wo-kqa_silver_wogold-iter-sft-step1 

Llama3 8B Instruct Wo Kqa Silver Wogold Iter Sft Step1 Benchmarks

LLME Score: 0.19033
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Instruct Wo Kqa Silver Wogold Iter Sft Step1 (Minbyul/llama3-8b-instruct-wo-kqa_silver_wogold-iter-sft-step1)

Llama3 8B Instruct Wo Kqa Silver Wogold Iter Sft Step1 Parameters and Internals

Training Details 
Data Sources:
HuggingFaceH4/deita-10k-v0-sft
Hardware Used:
multi-GPU (4 devices)
LLM NameLlama3 8B Instruct Wo Kqa Silver Wogold Iter Sft Step1
Repository 🤗https://huggingface.co/Minbyul/llama3-8b-instruct-wo-kqa_silver_wogold-iter-sft-step1 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerMinbyul
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Minbyul/llama3-8b-instruct-wo-kqa_silver_wogold-iter-sft-step1.

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