What are the hardware requirements for Ahma 7B Instruct?

Ahma 7B Instruct requires approximately 14 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 Ahma 7B Instruct and how large is it?

Ahma 7B Instruct is developed by Finnish-NLP, 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 Ahma 7B Instruct?

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

Ahma 7B Instruct by Finnish-NLP — VRAM 14GB, 2K context

Name: Ahma 7B Instruct
Author: Finnish-NLP

Ahma 7B Instruct is an open-source language model by Finnish-NLP. Features: 7b LLM, VRAM: 14GB, Context: 2K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.15.

Merged Model Arxiv:2302.13971 Base model:finetune:finnish-nl... Base model:finnish-nlp/ahma-7b Conversational Doi:10.57967/hf/4009 Fi Finnish Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Finnish-NLP/Ahma-7B-Instruct

Ahma 7B Instruct Parameters and Internals

LLM Name	Ahma 7B Instruct
Repository 🤗	https://huggingface.co/Finnish-NLP/Ahma-7B-Instruct
Base Model(s)	Ahma 7B Finnish-NLP/Ahma-7B
Merged Model	Yes
Model Size	7b
Required VRAM	14 GB
Updated	2026-08-02
Maintainer	Finnish-NLP
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.0 GB: 3-of-3
Supported Languages	fi
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<PAD>
Vocabulary Size	64257
Torch Data Type	float16

Rank the Ahma 7B Instruct 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

Best Alternatives to Ahma 7B Instruct

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124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
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... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
Salamandra 7B Instruct 2606	160K / 15.6 GB	946	2
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Jessi V0.4 Falcon3 7B Instruct	32K / 14.8 GB	22	0

Note: green Score (e.g. "73.2") means that the model is better than Finnish-NLP/Ahma-7B-Instruct.