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Llama2 7B Openorca 35K by georgesung

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  Autotrain compatible Dataset:georgesung/openorca 35...   Endpoints compatible   Fp16   Llama   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/georgesung/llama2_7b_openorca_35k 

Llama2 7b Openorca 35k Benchmarks

LLME Score: 0.11427
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 7B Openorca 35K (georgesung/llama2_7b_openorca_35k)

Llama2 7B Openorca 35K Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
georgesung/OpenOrca_35k
Data Volume:
35k subset
Methodology:
Used QLoRA for fine-tuning
Hardware Used:
24GB GPU (NVIDIA A10G)
Input Output 
Input Format:
### System: You are a helpful AI assistant. ### Instruction: [user input] ### Response:
Accepted Modalities:
text
Output Format:
text
LLM NameLlama2 7b Openorca 35k
Repository 🤗https://huggingface.co/georgesung/llama2_7b_openorca_35k 
Model Size7b
Required VRAM27 GB
Updated2025-04-30
Maintainergeorgesung
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than georgesung/llama2_7b_openorca_35k.

Rank the Llama2 7B Openorca 35K 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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