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

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

Llama 2 7B Ft Instruct Es is developed by clibrain, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 2 7B Ft Instruct Es perform on standard benchmarks?

Llama 2 7B Ft Instruct Es has the following published scores: MMLU 46.58. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 2 7B Ft Instruct Es by clibrain — VRAM 13.5GB, 4K context

Name: Llama 2 7B Ft Instruct Es
Author: clibrain

Llama 2 7B Ft Instruct Es is an open-source language model by clibrain. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.11, Arc: 53.7, HellaSwag: 77.8, MMLU: 46.6, GSM8K: 5.7.

Deploy:azure Es Instruct Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/clibrain/Llama-2-7b-ft-instruct-es

Llama 2 7B Ft Instruct Es Parameters and Internals

Model Type

text generation

Additional Notes

Fine-tuned for Spanish language instructions.

Supported Languages

es (Full Proficiency)

Training Details

Data Sources:

Clibrain Spanish instructions dataset

Methodology:

fine-tuning

Input Output

Input Format:

Instruction with optional input and context

Accepted Modalities:

text

Output Format:

Generated text completion to the instruction

Performance Tips:

Ensure CUDA compatibility for better performance

LLM Name	Llama 2 7B Ft Instruct Es
Repository 🤗	https://huggingface.co/clibrain/Llama-2-7b-ft-instruct-es
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-03
Maintainer	clibrain
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	es
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
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 Llama 2 7B Ft Instruct Es 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

Quantized Models of the Llama 2 7B Ft Instruct Es

Model	Likes	Downloads	VRAM
Llama 2 7B Ft Instruct Es GGUF	3	167	2 GB
Llama 2 7B Ft Instruct Es GPTQ	2	2	3 GB
Llama 2 7B Ft Instruct Es AWQ	1	0	3 GB

Best Alternatives to Llama 2 7B Ft Instruct Es

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	817	3
SuperNeuralDreadDevil 8B	128K / 16.1 GB	27	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 clibrain/Llama-2-7b-ft-instruct-es.