What are the hardware requirements for SamirGPT V1?

SamirGPT V1 requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SamirGPT V1 and how large is it?

SamirGPT V1 is developed by samir-fama, a model with 7.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does SamirGPT V1 perform on standard benchmarks?

SamirGPT V1 has the following published scores: MMLU 65.3. Compare against reference models on this page or on the LLM Explorer leaderboards.

SamirGPT V1 by samir-fama — VRAM 14.4GB, 32K context

Name: SamirGPT V1
Author: samir-fama

SamirGPT V1 is an open-source language model by samir-fama. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 69.5, HellaSwag: 87, MMLU: 65.3, 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 Parameters and Internals

Supported Languages

en (unknown)

LLM Name	SamirGPT V1
Repository 🤗	https://huggingface.co/samir-fama/SamirGPT-v1
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-07-26
Maintainer	samir-fama
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the SamirGPT V1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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...Web AI HumanAI 012 INSTRUCT MX	512K / 14.4 GB	8	0

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