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SamirGPT V1 by samir-fama

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SamirGPT V1 is an open-source language model by samir-fama. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 73.1, LLM Explorer Score: 0.12, Arc: 69.5, HellaSwag: 87, MMLU: 65.3, TruthfulQA: 63.4, WinoGrande: 81.7, GSM8K: 71.7.

  En   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/samir-fama/SamirGPT-v1 

SamirGPT V1 Benchmarks

ARC: 69.54 vs 96.7 (so35)-28.1%
HellaSwag: 87.04 vs 95.3 (gpt4)-8.7%
MMLU: 65.3 vs 88.3 (so35)-26%
TruthfulQA: 63.37 vs 59 (gpt4)7.4%
WinoGrande: 81.69 vs 87.5 (gpt4)-6.6%
GSM8K: 71.72 vs 96.4 (so35)-25.6%
LLME Score: 0.12277
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SamirGPT V1 (samir-fama/SamirGPT-v1)
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SamirGPT V1 Parameters and Internals

Supported Languages 
en (unknown)
LLM NameSamirGPT V1
Repository 🤗https://huggingface.co/samir-fama/SamirGPT-v1 
Model Size7.2b
Required VRAM14.4 GB
Updated2026-04-23
Maintainersamir-fama
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than samir-fama/SamirGPT-v1.

Rank the SamirGPT V1 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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