What are the hardware requirements for LLaMa 1 MedicWizard 7B?

LLaMa 1 MedicWizard 7B requires approximately 13.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LLaMa 1 MedicWizard 7B and how large is it?

LLaMa 1 MedicWizard 7B is developed by PJMixers-Archive, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate LLaMa 1 MedicWizard 7B?

LLaMa 1 MedicWizard 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLaMa 1 MedicWizard 7B by PJMixers-Archive — VRAM 13.3GB, 2K context

Name: LLaMa 1 MedicWizard 7B
Author: PJMixers-Archive

LLaMa 1 MedicWizard 7B is an open-source language model by PJMixers-Archive. Features: 7b LLM, VRAM: 13.3GB, Context: 2K, LLM Explorer Score: 0.07.

Alpaca Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/PJMixers-Archive/LLaMa-1-MedicWizard-7B

LLaMa 1 MedicWizard 7B Parameters and Internals

LLM Name	LLaMa 1 MedicWizard 7B
Repository 🤗	https://huggingface.co/PJMixers-Archive/LLaMa-1-MedicWizard-7B
Model Size	7b
Required VRAM	13.3 GB
Updated	2026-07-14
Maintainer	PJMixers-Archive
Model Type	llama
Model Files	2.0 GB: 1-of-7 2.0 GB: 2-of-7 2.0 GB: 3-of-7 2.0 GB: 4-of-7 2.0 GB: 5-of-7 2.0 GB: 6-of-7 1.3 GB: 7-of-7 2.0 GB: 1-of-7 2.0 GB: 2-of-7 2.0 GB: 3-of-7 2.0 GB: 4-of-7 2.0 GB: 5-of-7 2.0 GB: 6-of-7 1.3 GB: 7-of-7
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	float16

Rank the LLaMa 1 MedicWizard 7B 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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Note: green Score (e.g. "73.2") means that the model is better than PJMixers-Archive/LLaMa-1-MedicWizard-7B.