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Llama 2 7B Miniguanaco by WilAI

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/WilAI/llama-2-7b-miniguanaco 

Llama 2 7B Miniguanaco Benchmarks

LLME Score: 0.19659
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 Miniguanaco (WilAI/llama-2-7b-miniguanaco)

Llama 2 7B Miniguanaco Parameters and Internals

Model Type 
Text Generation
Use Cases 
Primary Use Cases:
Text generation
Additional Notes 
The model uses MiniGuanaco for efficient fine-tuning with reduced computational requirements and supports customizable prompts for generating specific types of text.
Training Details 
Methodology:
Fine-tuning and adaptation using MiniGuanaco to specific tasks
Model Architecture:
Transformer-based language model
LLM NameLlama 2 7B Miniguanaco
Repository 🤗https://huggingface.co/WilAI/llama-2-7b-miniguanaco 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerWilAI
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
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

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Note: green Score (e.g. "73.2") means that the model is better than WilAI/llama-2-7b-miniguanaco.

Rank the Llama 2 7B Miniguanaco 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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