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Meta Llama 3 8B Instruct Summarize V0.2 16K LoRANET Merged by Ayush-1722

 »  All LLMs  »  Ayush-1722  »  Meta Llama 3 8B Instruct Summarize V0.2 16K LoRANET Merged   URL Share it on

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  100k+ context length   8b   Autotrain compatible   Big patents   Chat   Conversational   Dataset:facebook/babi qa   Dataset:rmt-team/babilong Dataset:rmt-team/babilong-1k-s... Dataset:trelis/big patent 100k...   En   Endpoints compatible   Facebook   Instruct   Llama   Llama-3   Long context   Lora   Merge   Meta   Norm & embed trained   Pytorch   Q&a   Question answering   Region:us   Research   Rope   Safetensors   Science   Sharded   Summarize   Tensorflow   Theta scaling
Model Card on HF 🤗: https://huggingface.co/Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-16K-LoRANET-Merged 

Meta Llama 3 8B Instruct Summarize V0.2 16K LoRANET Merged Benchmarks

LLME Score: 0.18641
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct Summarize V0.2 16K LoRANET Merged (Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-16K-LoRANET-Merged)

Meta Llama 3 8B Instruct Summarize V0.2 16K LoRANET Merged Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat, natural language generation tasks
Primary Use Cases:
dialogue, question answering
Limitations:
Cannot be used in violation of laws or for unethical purposes as per the Acceptable Use Policy
Considerations:
Developers may need to fine-tune for languages other than English.
Additional Notes 
Estimated total emissions for training were 2290 tCO2eq, 100% offset by Meta's sustainability program.
Training Details 
Data Sources:
publicly available online data
Data Volume:
15T+ tokens
Methodology:
auto-regressive language model with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
8000
Hardware Used:
Meta's Research SuperCluster, H100-80GB GPUs (7.7M GPU hours)
Model Architecture:
optimized transformer architecture
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Input Output 
Input Format:
text only
Accepted Modalities:
text
Output Format:
text and code
Release Notes 
Date:
April 18, 2024
Notes:
Initial release of Llama 3 family models.
LLM NameMeta Llama 3 8B Instruct Summarize V0.2 16K LoRANET Merged
Repository 🤗https://huggingface.co/Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-16K-LoRANET-Merged 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerAyush-1722
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   6.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size128257
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-16K-LoRANET-Merged.

Rank the Meta Llama 3 8B Instruct Summarize V0.2 16K LoRANET Merged Capabilities

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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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