What are the hardware requirements for EsDrac V1 7B?

EsDrac V1 7B requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EsDrac V1 7B and how large is it?

EsDrac V1 7B is developed by natzx94, 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 EsDrac V1 7B?

EsDrac V1 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EsDrac V1 7B by natzx94 — VRAM 15.2GB, 32K context

Name: EsDrac V1 7B
Author: natzx94

EsDrac V1 7B is an open-source language model by natzx94. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.26.

Agentic Balear Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Ca Catalan Conversational Dataset:natzx94/esdrac-mallorq... En Endpoints compatible Es Function-calling Instruct Mallorca Mallorqui Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/natzx94/EsDrac-v1-7B

EsDrac V1 7B Parameters and Internals

LLM Name	EsDrac V1 7B
Repository 🤗	https://huggingface.co/natzx94/EsDrac-v1-7B
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-13
Maintainer	natzx94
Model Type	qwen2
Instruction-Based	Yes
Model Files	15.2 GB
Supported Languages	en es ca
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the EsDrac V1 7B 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 EsDrac V1 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than natzx94/EsDrac-v1-7B.