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Llama3 5.4B Instruct by HaileyStorm

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:mlabonne/orpo-dpo-mix-...   Dpo   Endpoints compatible   Instruct   Llama   Mergekit   Model-index   Prune   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/HaileyStorm/llama3-5.4b-instruct 

Llama3 5.4B Instruct Benchmarks

ARC: 39.93 vs 96.7 (so35)-58.7%
HellaSwag: 51.27 vs 95.3 (gpt4)-46.2%
MMLU: 31.16 vs 88.3 (so35)-64.7%
TruthfulQA: 51.85 vs 59 (gpt4)-12.1%
WinoGrande: 67.8 vs 87.5 (gpt4)-22.5%
LLME Score: 0.22647
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 5.4B Instruct (HaileyStorm/llama3-5.4b-instruct)

Llama3 5.4B Instruct Parameters and Internals

Model Type 
text-generation
Additional Notes 
Successfully merged and pruned using mergekit, demonstrated good recovery in performance post-healing.
Training Details 
Data Volume:
139k samples for DPO finetune, 73k samples for LoRA
Methodology:
Full weight DPO finetune and LoRA with r=128 a=256
Context Length:
8000
Model Architecture:
Pruned from 32 layers to 20
LLM NameLlama3 5.4B Instruct
Repository 🤗https://huggingface.co/HaileyStorm/llama3-5.4b-instruct 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM10.9 GB
Updated2025-02-22
MaintainerHaileyStorm
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   4.8 GB: 2-of-3   1.1 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than HaileyStorm/llama3-5.4b-instruct.

Rank the Llama3 5.4B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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