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Instruct Llama3 8B by Brillibits

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  Autotrain compatible   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Brillibits/Instruct_Llama3_8B 

Instruct Llama3 8B Benchmarks

ARC: 61.6 vs 96.7 (so35)-36.3%
HellaSwag: 79.41 vs 95.3 (gpt4)-16.7%
MMLU: 62.73 vs 88.3 (so35)-29%
TruthfulQA: 49.72 vs 59 (gpt4)-15.7%
WinoGrande: 79.01 vs 87.5 (gpt4)-9.7%
GSM8K: 38.89 vs 96.4 (so35)-59.7%
LLME Score: 0.20353
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Instruct Llama3 8B (Brillibits/Instruct_Llama3_8B)

Instruct Llama3 8B Parameters and Internals

Model Type 
auto-regressive, text generation
Additional Notes 
Contact for professional assistance at blake@brillibits.com
Supported Languages 
en (proficient)
Training Details 
Data Sources:
wide variety of sources
Data Volume:
84.9% training, 15% validation, 0.1% test
Methodology:
Using QDora
Context Length:
4096
Model Architecture:
Llama 3 transformer architecture
Input Output 
Input Format:
~~[SYS] {system prompt or blank space} [/SYS] [INST] {instruction} [/INST] {response}~~
Accepted Modalities:
text
Output Format:
text
LLM NameInstruct Llama3 8B
Repository 🤗https://huggingface.co/Brillibits/Instruct_Llama3_8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerBrillibits
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_0|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Brillibits/Instruct_Llama3_8B.

Rank the Instruct Llama3 8B 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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Release v20241227
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