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Gorani 100K Llama2 13B Instruct by danielpark

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Bitsandbytes, transformers, pe... Dataset:danielpark/gorani-100k...   En   Instruct   Llama   Pytorch   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/danielpark/gorani-100k-llama2-13b-instruct 

Gorani 100K Llama2 13B Instruct Benchmarks

ARC: 28.07 vs 96.7 (so35)-71%
HellaSwag: 26.3 vs 95.3 (gpt4)-72.4%
MMLU: 25.17 vs 88.3 (so35)-71.5%
TruthfulQA: 48.96 vs 59 (gpt4)-17%
WinoGrande: 49.64 vs 87.5 (gpt4)-43.3%
LLME Score: 0.17334
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Gorani 100K Llama2 13B Instruct Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
Model weights are not officially released and should not be used.
Additional Notes 
Model is part of GORANI project, exploring optimal datasets for domain-specific knowledge transfer.
Training Details 
Data Sources:
danielpark/gorani-100k
Methodology:
Experiments using techniques such as RoPE scaling, Attention Sinks, Flash Attention 1 and 2, SWA, GQA.
Release Notes 
Version:
Revision 01
Date:
2023-10-04
Notes:
Training completed on 19,740 samples from a 100,000 sample dataset. Model is in training.
Date:
2023-11-12
Notes:
Project changed to private status. No public release format to date.
LLM NameGorani 100K Llama2 13B Instruct
Repository 🤗https://huggingface.co/danielpark/gorani-100k-llama2-13b-instruct 
Model Size13b
Required VRAM26 GB
Updated2025-06-09
Maintainerdanielpark
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3   6.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Gorani 100K Llama2 13B Instruct (danielpark/gorani-100k-llama2-13b-instruct)

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Note: green Score (e.g. "73.2") means that the model is better than danielpark/gorani-100k-llama2-13b-instruct.

Rank the Gorani 100K Llama2 13B 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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Release v20241124
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