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LLaMA 2 7B GTL Delta by microsoft

 »  All LLMs  »  microsoft  »  LLaMA 2 7B GTL Delta   URL Share it on

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  Arxiv:2310.07338   Autotrain compatible   Endpoints compatible   In-context learning   Llama   Region:us   Safetensors   Sharded   Tabular data   Tensorflow   Transfer learning
Model Card on HF 🤗: https://huggingface.co/microsoft/LLaMA-2-7b-GTL-Delta 

LLaMA 2 7B GTL Delta Benchmarks

LLME Score: 0.21495
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 GTL Delta (microsoft/LLaMA-2-7b-GTL-Delta)

LLaMA 2 7B GTL Delta Parameters and Internals

Model Type 
language model, transfer learning, in-context learning
Use Cases 
Areas:
industry sectors
Primary Use Cases:
classification, regression
Limitations:
The model may produce biased predictions due to data representation limitations., There is potential for misinterpretation of predictions and inappropriate decision-making based on them.
Considerations:
A clear understanding of context and domain expertise is recommended before making decisions based on the model's predictions.
Responsible Ai Considerations 
Fairness:
Data Bias: The model is trained on data that is not representative of the full range of industrial scenarios, and it may produce biased predictions.
Transparency:
Developers should follow transparency best practices and inform end-users they are interacting with an AI system.
Accountability:
Developers should apply responsible AI best practices and ensure compliance with laws and regulations.
Mitigation Strategies:
Implement additional debiasing techniques and feedback mechanisms for grounding responses in specific, contextual information.
Input Output 
Input Format:
Language format data samples with context and specific task instructions or questions.
Accepted Modalities:
text
Output Format:
Predictive answers suitable for classification and regression tasks.
LLM NameLLaMA 2 7B GTL Delta
Repository 🤗https://huggingface.co/microsoft/LLaMA-2-7b-GTL-Delta 
Model Size7b
Required VRAM27.1 GB
Updated2025-01-16
Maintainermicrosoft
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than microsoft/LLaMA-2-7b-GTL-Delta.

Rank the LLaMA 2 7B GTL Delta 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  
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