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Llama 3 Cat 8B Instruct V1 by TheSkullery

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheSkullery/llama-3-cat-8b-instruct-v1 

Llama 3 Cat 8B Instruct V1 Benchmarks

ARC: 59.04 vs 96.7 (so35)-38.9%
HellaSwag: 79.2 vs 95.3 (gpt4)-16.9%
MMLU: 62.99 vs 88.3 (so35)-28.7%
TruthfulQA: 50.8 vs 59 (gpt4)-13.9%
WinoGrande: 75.93 vs 87.5 (gpt4)-13.2%
GSM8K: 60.5 vs 96.4 (so35)-37.2%
LLME Score: 0.24376
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Cat 8B Instruct V1 (TheSkullery/llama-3-cat-8b-instruct-v1)

Llama 3 Cat 8B Instruct V1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, biosciences, general science
Primary Use Cases:
system instruction fidelity, chain of thought, character immersion
Additional Notes 
The model does COT in grey, calculated response in black; this behavior is not fine-tuned into the model.
Training Details 
Data Sources:
Huggingface dataset
Methodology:
Training on instruction-response pairs
Training Time:
6 days
Hardware Used:
1 A100 GPU
LLM NameLlama 3 Cat 8B Instruct V1
Repository 🤗https://huggingface.co/TheSkullery/llama-3-cat-8b-instruct-v1 
Model Size8b
Required VRAM16.1 GB
Updated2024-09-18
MaintainerTheSkullery
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
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheSkullery/llama-3-cat-8b-instruct-v1.

Rank the Llama 3 Cat 8B Instruct V1 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 v20241217
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