What are the hardware requirements for Canarim 7B Instruct?

Canarim 7B Instruct requires approximately 13.5 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 Canarim 7B Instruct and how large is it?

Canarim 7B Instruct is developed by dominguesm, 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 Canarim 7B Instruct?

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

Canarim 7B Instruct by dominguesm — VRAM 13.5GB, 4K context

Name: Canarim 7B Instruct
Author: dominguesm

Canarim 7B Instruct is an open-source language model by dominguesm. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, Instruction-Based, LLM Explorer Score: 0.1.

Dataset:dominguesm/cc-main-202... Instruct Llama Llama 2 Model-index Portuguese Pt Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/dominguesm/Canarim-7B-Instruct

Canarim 7B Instruct Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Research, Commercial Applications

Primary Use Cases:

Text generation

Additional Notes

README under construction

Supported Languages

Portuguese (high)

Training Details

Data Sources:

Public instruction datasets

Methodology:

Instruction tuning

Input Output

Input Format:

Instruction based input, providing a task description and optional context.

Accepted Modalities:

text

Output Format:

Text response completing the given instruction.

Performance Tips:

Utilize few-shot learning by providing context in prompts to enhance accuracy.

LLM Name	Canarim 7B Instruct
Repository 🤗	https://huggingface.co/dominguesm/Canarim-7B-Instruct
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-02
Maintainer	dominguesm
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	pt
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Canarim 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 Canarim 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
A3.4	1024K / 16.1 GB	13	0
A2.4	1024K / 16.1 GB	12	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
Salamandra 7B Instruct 2606	160K / 15.6 GB	946	2
SuperNeuralDreadDevil 8B	128K / 16.1 GB	14	1
Falcon3 7B Instruct	32K / 14.8 GB	11749	80
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	34	9
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 dominguesm/Canarim-7B-Instruct.