What are the hardware requirements for Latxa 7B Instruct?

Latxa 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 Latxa 7B Instruct and how large is it?

Latxa 7B Instruct is developed by xezpeleta, 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 Latxa 7B Instruct?

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

Latxa 7B Instruct by xezpeleta — VRAM 13.5GB, 4K context

Name: Latxa 7B Instruct
Author: xezpeleta

Latxa 7B Instruct is an open-source language model by xezpeleta. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

Base model:adapter:hitz/latxa-... Base model:hitz/latxa-7b-v1 Chat Dataset:xezpeleta/oasst2 eu Endpoints compatible Eu Gguf Instruct Latxa Llama Peft Quantized Region:us Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/xezpeleta/latxa-7b-instruct

Latxa 7B Instruct Parameters and Internals

Model Type

text-generation

Supported Languages

eu (Basque)

Training Details

Data Sources:

xezpeleta/oasst2_eu

Methodology:

Instruction fine-tuning using OASST2 dataset, translated to Basque using Helsinki-NLP Opus MT

LLM Name	Latxa 7B Instruct
Repository 🤗	https://huggingface.co/xezpeleta/latxa-7b-instruct
Base Model(s)	Latxa 7B V1 HiTZ/latxa-7b-v1
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-02
Maintainer	xezpeleta
Model Type	llama
Instruction-Based	Yes
Model Files	13.5 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Supported Languages	eu
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Latxa 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 Latxa 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Lucie 7B Instruct	31K / 13.4 GB	4115	20
Lucie 7B Instruct Human Data	31K / 13.4 GB	371	7
Lucie 7B Instruct Gguf	31K / 4.1 GB	1568	4
Sqlcoder 7B 2	16K / 13.5 GB	26624	436
...pseek Coder 6.7B Instruct GGUF	16K / 2.5 GB	2370	8
Sql Code Gguf	16K / 4.8 GB	35	0
... 7B Instruct Preview Reasoning	4K / 14 GB	104	3
Bailong Orpo 7B	4K / 14 GB	28	5
...lumiX 32K Instruct Q4 K M GGUF	32K / 4.1 GB	89	3
...p 0.05 Max Grad1.0 Grad Accu32	32K / 14.4 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than xezpeleta/latxa-7b-instruct.