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Padma SLM 7B V3.0 by shyamieee

 »  All LLMs  »  shyamieee  »  Padma SLM 7B V3.0   URL Share it on

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  Merged Model   Arxiv:2212.04089   Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/shyamieee/Padma-SLM-7b-v3.0 

Padma SLM 7B V3.0 Benchmarks

ARC: 73.04 vs 96.7 (so35)-24.5%
HellaSwag: 89.19 vs 95.3 (gpt4)-6.4%
MMLU: 64.46 vs 88.3 (so35)-27%
TruthfulQA: 78.04 vs 59 (gpt4)32.3%
WinoGrande: 85.32 vs 87.5 (gpt4)-2.5%
GSM8K: 69.9 vs 96.4 (so35)-27.5%
LLME Score: 0.19169
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Padma SLM 7B V3.0 (shyamieee/Padma-SLM-7b-v3.0)

Padma SLM 7B V3.0 Parameters and Internals

Training Details 
Methodology:
Task Arithmetic Merge Method
LLM NamePadma SLM 7B V3.0
Repository 🤗https://huggingface.co/shyamieee/Padma-SLM-7b-v3.0 
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainershyamieee
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than shyamieee/Padma-SLM-7b-v3.0.

Rank the Padma SLM 7B V3.0 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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