What are the hardware requirements for Nsql Llama 2 7B GGUF?

Nsql Llama 2 7B 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 Nsql Llama 2 7B GGUF and how large is it?

Nsql Llama 2 7B 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 Nsql Llama 2 7B GGUF?

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

Nsql Llama 2 7B GGUF by TheBloke — VRAM 2.8GB

Name: Nsql Llama 2 7B GGUF
Author: TheBloke

Nsql Llama 2 7B GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: llama2, Quantized, LLM Explorer Score: 0.1.

Base model:numbersstation/nsql... Base model:quantized:numbersst... Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/nsql-llama-2-7B-GGUF

Nsql Llama 2 7B GGUF Parameters and Internals

Model Type

llama

Use Cases

Primary Use Cases:

text-to-SQL generation

Training Details

Data Sources:

The Stack SQL subset, More than 20 public sources across the web for text-to-SQL pairs

Data Volume:

1M training samples

Methodology:

Pre-trained on general SQL queries and fine-tuned on text-to-SQL pairs

Hardware Used:

80GB A100s

Model Architecture:

Autoregressive

LLM Name	Nsql Llama 2 7B GGUF
Repository 🤗	https://huggingface.co/TheBloke/nsql-llama-2-7B-GGUF
Model Name	NSQL Llama-2 7B
Model Creator	NumbersStation
Base Model(s)	Nsql Llama 2 7B NumbersStation/nsql-llama-2-7B
Model Size	7b
Required VRAM	2.8 GB
Updated	2026-08-06
Maintainer	TheBloke
Model Type	llama
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
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the Nsql Llama 2 7B GGUF capabilities

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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

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