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Llama2 7B Merge Orcafamily by yeen214

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  Merged Model   Autotrain compatible Dataset:beaugogh/openorca-mult...   Dataset:open-orca/slimorca   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yeen214/llama2_7b_merge_orcafamily 

Llama2 7b Merge Orcafamily Benchmarks

ARC: 56.91 vs 96.7 (so35)-41.1%
HellaSwag: 81.17 vs 95.3 (gpt4)-14.8%
MMLU: 51.49 vs 88.3 (so35)-41.7%
TruthfulQA: 49.68 vs 59 (gpt4)-15.8%
WinoGrande: 75.93 vs 87.5 (gpt4)-13.2%
GSM8K: 23.12 vs 96.4 (so35)-76%
LLME Score: 0.16451
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 7B Merge Orcafamily (yeen214/llama2_7b_merge_orcafamily)
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Llama2 7B Merge Orcafamily Parameters and Internals

Model Type 
text generation, multiple choice understanding
Additional Notes 
The model is a combination of three fine-tuned models using different datasets: SlimOrca and beaugogh/openorca-multiplechoice-10k.
Supported Languages 
en (English)
Training Details 
Data Sources:
Open-Orca/SlimOrca, beaugogh/openorca-multiplechoice-10k
Methodology:
Fine-tuning with NEFTune method
Model Architecture:
Enhanced architecture based on LLama 7b
LLM NameLlama2 7b Merge Orcafamily
Repository 🤗https://huggingface.co/yeen214/llama2_7b_merge_orcafamily 
Merged ModelYes
Model Size7b
Required VRAM13.5 GB
Updated2025-08-18
Maintaineryeen214
Model Typellama
Model Files  9.9 GB: 1-of-2   3.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Llama2 7B Merge Orcafamily

Model
Likes
Downloads
VRAM
...lama2 7b Merge Orcafamily GGUF0262 GB
Llama2 7b Merge Orcafamily AWQ0103 GB

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Note: green Score (e.g. "73.2") means that the model is better than yeen214/llama2_7b_merge_orcafamily.

Rank the Llama2 7B Merge Orcafamily 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 v20241124
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