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Llama 2 7B Instruct Tuning by choco9966

 »  All LLMs  »  choco9966  »  Llama 2 7B Instruct Tuning   URL Share it on

  7   
  Arxiv:2309.12284   Arxiv:2312.15166   Arxiv:2403.19270   Autotrain compatible   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/choco9966/Llama-2-7b-instruct-tuning 

Llama 2 7B Instruct Tuning Benchmarks

LLME Score: 0.10705
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 7B Instruct Tuning (choco9966/Llama-2-7b-instruct-tuning)
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Llama 2 7B Instruct Tuning Parameters and Internals

Model Type 
Single-turn Conversation, NLP Task
Use Cases 
Areas:
Research, Fine-tuning
Primary Use Cases:
Single-turn Conversation
Limitations:
Not suitable for multi-turn conversations such as chat
Training Details 
Data Sources:
c-s-ale/alpaca-gpt4-data, Open-Orca/OpenOrca, Metamath, Intel/orca_dpo_pairs, allenai/ultrafeedback_binarized_cleaned
Methodology:
Instruction fine-tuning using SFT and DPO
Context Length:
4096
Model Architecture:
Depth Up-scaling (DUS) with architectural modifications
Input Output 
Input Format:
Single-turn conversation template
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Ensure correct version of transformers library is installed.
LLM NameLlama 2 7B Instruct Tuning
Repository 🤗https://huggingface.co/choco9966/Llama-2-7b-instruct-tuning 
Model Size7b
Required VRAM13.5 GB
Updated2025-09-23
Maintainerchoco9966
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than choco9966/Llama-2-7b-instruct-tuning.

Rank the Llama 2 7B Instruct Tuning Capabilities

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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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