What are the hardware requirements for Llama 2 7B Ft Instruct Es GGUF?

Llama 2 7B Ft Instruct Es GGUF requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 7B Ft Instruct Es GGUF and how large is it?

Llama 2 7B Ft Instruct Es GGUF 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 Llama 2 7B Ft Instruct Es GGUF?

Llama 2 7B Ft Instruct Es GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B Ft Instruct Es GGUF by TheBloke — VRAM 2.8GB

Name: Llama 2 7B Ft Instruct Es GGUF
Author: TheBloke

Llama 2 7B Ft Instruct Es GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

Base model:clibrain/llama-2-7b... Base model:quantized:clibrain/... Es Gguf Instruct Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-7B-ft-instruct-es-GGUF

Llama 2 7B Ft Instruct Es GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

Quantized using hardware provided by Massed Compute. Original model fine-tuned by CliBrAIn, quantization by TheBloke.

Supported Languages

es (native)

Input Output

Input Format:

A prompt-based instruction format.

Accepted Modalities:

text

Output Format:

Textual response

LLM Name	Llama 2 7B Ft Instruct Es GGUF
Repository 🤗	https://huggingface.co/TheBloke/Llama-2-7B-ft-instruct-es-GGUF
Model Name	Llama 2 7B FT Instruct ES
Model Creator	CliBrAIn
Base Model(s)	Llama 2 7B Ft Instruct Es clibrain/Llama-2-7b-ft-instruct-es
Model Size	7b
Required VRAM	2.8 GB
Updated	2026-07-11
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	2.8 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
Supported Languages	es
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Llama 2 7B Ft Instruct Es GGUF 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 Llama 2 7B Ft Instruct Es GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0
Qwen2 7B Instruct V0.1 GGUF	0K / 4.5 GB	9714	0
Qwen2 7B Instruct V0.7 GGUF	0K / 4.5 GB	9530	0
Qwen2 7B Instruct V0.3 GGUF	0K / 4.5 GB	8911	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-7B-ft-instruct-es-GGUF.