What are the hardware requirements for Pharia 1 LLM 7B Control Hf?

Pharia 1 LLM 7B Control Hf requires approximately 14.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pharia 1 LLM 7B Control Hf and how large is it?

Pharia 1 LLM 7B Control Hf is developed by Aleph-Alpha, 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 Pharia 1 LLM 7B Control Hf?

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

Pharia 1 LLM 7B Control Hf by Aleph-Alpha — VRAM 14.1GB, 8K context

Name: Pharia 1 LLM 7B Control Hf
Author: Aleph-Alpha

Pharia 1 LLM 7B Control Hf is an open-source language model by Aleph-Alpha. Features: 7b LLM, VRAM: 14.1GB, Context: 8K, License: other, LLM Explorer Score: 0.14.

Conversational Custom code Pharia-v1 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Aleph-Alpha/Pharia-1-LLM-7B-control-hf

Pharia 1 LLM 7B Control Hf Parameters and Internals

Model Type

text generation

Additional Notes

This model is a safetensors-conversion.

LLM Name	Pharia 1 LLM 7B Control Hf
Repository 🤗	https://huggingface.co/Aleph-Alpha/Pharia-1-LLM-7B-control-hf
Model Size	7b
Required VRAM	14.1 GB
Updated	2026-08-24
Maintainer	Aleph-Alpha
Model Type	pharia-v1
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.2 GB: 3-of-3
Model Architecture	PhariaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|padding\|>
Vocabulary Size	128000
Torch Data Type	bfloat16

Rank the Pharia 1 LLM 7B Control Hf 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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