Airavata GGUF by sam749

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  Arxiv:2401.15006   Autotrain compatible Dataset:ai4bharat/indic-instru...   En   Endpoints compatible   Gguf   Hi   Instruct   Llama   Llama2   Multilingual   Quantized   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/sam749/Airavata-GGUF 

Airavata GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Airavata GGUF (sam749/Airavata-GGUF)

Airavata GGUF Parameters and Internals

Model Type 
multilingual, instruction-tuning
Additional Notes 
The model is a finetuned version focusing on Hindi and related instruction datasets.
Supported Languages 
en (high), hi (high)
Training Details 
Data Sources:
ai4bharat/indic-instruct-data-v0.1
Methodology:
Finetuned with LoRA on the IndicInstruct dataset.
Input Output 
Input Format:
Chat format similar to OpenInstruct: <|user|> Your message here! <|assistant|>
Performance Tips:
Include a newline after <|assistant|> for better generation quality.
LLM NameAiravata GGUF
Repository ๐Ÿค—https://huggingface.co/sam749/Airavata-GGUF 
Required VRAM4.2 GB
Updated2025-02-05
Maintainersam749
Model Typellama
Instruction-BasedYes
Model Files  4.2 GB
Supported Languagesen hi
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size48065
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sam749/Airavata-GGUF.

Rank the Airavata GGUF 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227