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PrathameshLLM 2B by pmking27

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PrathameshLLM 2B is an open-source language model by pmking27. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: apache-2.0, HF Score: 45.1, LLM Explorer Score: 0.16, Arc: 44.7, HellaSwag: 68.4, MMLU: 38.2, TruthfulQA: 44.7, WinoGrande: 65.1, GSM8K: 9.3.

  As 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
Model Card on HF 🤗: https://huggingface.co/pmking27/PrathameshLLM-2B 

PrathameshLLM 2B Benchmarks

ARC: 44.71 vs 96.7 (so35)-53.8%
HellaSwag: 68.4 vs 95.3 (gpt4)-28.2%
MMLU: 38.21 vs 88.3 (so35)-56.7%
TruthfulQA: 44.69 vs 59 (gpt4)-24.3%
WinoGrande: 65.11 vs 87.5 (gpt4)-25.6%
GSM8K: 9.25 vs 96.4 (so35)-90.4%
LLME Score: 0.16112
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PrathameshLLM 2B (pmking27/PrathameshLLM-2B)
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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 🤗https://huggingface.co/pmking27/PrathameshLLM-2B 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM5.1 GB
Updated2026-04-10
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 Typefloat32

Quantized Models of the PrathameshLLM 2B

Model
Likes
Downloads
VRAM
PrathameshLLM 2B GGUF110681 GB

Best Alternatives to PrathameshLLM 2B

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Bge Reranker V2 Gemma8K / 10 GB2318683
Note: green Score (e.g. "73.2") means that the model is better than pmking27/PrathameshLLM-2B.

Rank the PrathameshLLM 2B 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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