PrathameshLLM 2B by pmking27

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  As   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2b   Bn   En   Endpoints compatible   Gemma   Gu   Hi   Kn   Ml   Mr   Ne   Or   Pa   Region:us   Safetensors   Sd   Sharded   Ta   Te   Tensorflow   Trl   Unsloth   Ur

PrathameshLLM 2B Benchmarks

PrathameshLLM 2B (pmking27/PrathameshLLM-2B)

PrathameshLLM 2B Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (native), mr (native), hi (native), gu (native), pa (native), te (native), ta (native), ml (native), kn (native), sd (native), ne (native), ur (native), as (native), bn (native), or (native)
Training Details 
Methodology:
The model was trained 2x faster using Unsloth and Huggingface's TRL library.
Input Output 
Input Format:
Strings formatted with Alpaca prompt template.
Accepted Modalities:
text
Output Format:
Text response extracted from decoded output.
LLM NamePrathameshLLM 2B
Repository ๐Ÿค—https://huggingface.co/pmking27/PrathameshLLM-2B 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM5.1 GB
Updated2024-12-22
Maintainerpmking27
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen mr hi gu pa te ta ml kn sd ne ur as bn or
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

Quantized Models of the PrathameshLLM 2B

Model
Likes
Downloads
VRAM
PrathameshLLM 2B GGUF134021 GB

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Note: green Score (e.g. "73.2") means that the model is better than pmking27/PrathameshLLM-2B.

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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 v20241217