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Sarvam 2B V0.5 by sarvamai

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sarvamai/sarvam-2b-v0.5 

Sarvam 2B V0.5 Benchmarks

LLME Score: 0.24123
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sarvam 2B V0.5 (sarvamai/sarvam-2b-v0.5)

Sarvam 2B V0.5 Parameters and Internals

Model Type 
language model, text generation
Use Cases 
Areas:
Indic languages, English
Applications:
research, language modeling
Primary Use Cases:
text generation
Additional Notes 
Current checkpoint has not undergone post-training.
Supported Languages 
English (supported), Indic Languages (supported)
Training Details 
Data Sources:
English (2T tokens), Indic (2T tokens)
Data Volume:
2 trillion tokens
Methodology:
Pre-trained from scratch
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
generated text
LLM NameSarvam 2B V0.5
Repository 🤗https://huggingface.co/sarvamai/sarvam-2b-v0.5 
Model Size2b
Required VRAM5.1 GB
Updated2025-03-12
Maintainersarvamai
Model Typellama
Model Files  4.8 GB: 1-of-2   0.3 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.44.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size64128
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sarvamai/sarvam-2b-v0.5.

Rank the Sarvam 2B V0.5 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 v20241227
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