What are the hardware requirements for ALMA 7B GPTQ?

ALMA 7B GPTQ requires approximately 3.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ALMA 7B GPTQ and how large is it?

ALMA 7B GPTQ is developed by TheBloke, 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 ALMA 7B GPTQ?

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

ALMA 7B GPTQ by TheBloke — VRAM 3.9GB, 4K context

Name: ALMA 7B GPTQ
Author: TheBloke

ALMA 7B GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, License: mit, Quantized, LLM Explorer Score: 0.09.

Arxiv:2309.11674 4-bit Base model:haoranxu/alma-7b Base model:quantized:haoranxu/... Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/ALMA-7B-GPTQ

ALMA 7B GPTQ Parameters and Internals

Model Type

translation, text

Use Cases

Areas:

language translation

Primary Use Cases:

translation from Chinese to English

Additional Notes

The model is based on a new translation model paradigm starting with fine-tuning on monolingual data and further optimizing using high-quality parallel data.

Supported Languages

Chinese (high), English (high)

Training Details

Data Sources:

monolingual data, human-written parallel data

Data Volume:

20B monolingual tokens

Methodology:

Full-weight fine-tuning

Model Architecture:

LLaMA-2-7B

Input Output

Input Format:

Chinese: {prompt}

Accepted Modalities:

text

Output Format:

English translation

Release Notes

Version:

ALMA-7B

Notes:

Full-weight Fine-tune LLaMA-2-7B on 20B monolingual tokens and further optimized on human-written parallel data.

LLM Name	ALMA 7B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/ALMA-7B-GPTQ
Model Name	ALMA 7B
Model Creator	Haoran Xu
Base Model(s)	ALMA 7B haoranxu/ALMA-7B
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-07-27
Maintainer	TheBloke
Model Type	llama
Model Files	3.9 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the ALMA 7B GPTQ 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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Yarn Llama 2 7B 128K GPTQ	128K / 3.9 GB	8	7
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...Calm2 7B Chat GPTQ Calib Ja 1K	32K / 4.4 GB	4	5
Llama 2 7B 32K Instruct GPTQ	32K / 3.9 GB	49	27
Codebear 7B 4bit	16K / 3.9 GB	4	1
...a 7B Instruct GPTQ Calib Ja 1K	16K / 3.9 GB	6	0
Pandalyst 7B V1.2 GPTQ	16K / 3.9 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/ALMA-7B-GPTQ.