What are the hardware requirements for Spider Natsql Wizard Coder Qlora?

Spider Natsql Wizard Coder Qlora requires approximately 0.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Spider Natsql Wizard Coder Qlora and how large is it?

Spider Natsql Wizard Coder Qlora is developed by richardr1126, a model with 15b 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 Spider Natsql Wizard Coder Qlora?

Spider Natsql Wizard Coder Qlora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Spider Natsql Wizard Coder Qlora by richardr1126 — VRAM 0.9GB

Name: Spider Natsql Wizard Coder Qlora
Author: richardr1126

Spider Natsql Wizard Coder Qlora is an open-source language model by richardr1126. Features: 15b LLM, VRAM: 0.9GB, License: bigcode-openrail-m, Instruction-Based, Code Generating, LLM Explorer Score: 0.07.

Arxiv:1809.08887 Arxiv:2109.05153 Arxiv:2305.14314 Adapter Base model:adapter:wizardlmtea... Base model:wizardlmteam/wizard... Codegen Codegen Dataset:richardr1126/spider-na... Dataset:spider Finetuned Instruct Lora Peft Qlora Region:us Spider Sql Sql Sql fine-tune Tensorboard

Model Card on HF 🤗: https://huggingface.co/richardr1126/spider-natsql-wizard-coder-qlora

Spider Natsql Wizard Coder Qlora Parameters and Internals

Model Type

text-to-SQL

Use Cases

Areas:

research

Limitations:

Cannot be used for commercial purposes

Additional Notes

NatSQL simplifies queries and reduces mismatch between natural language and SQL.

Training Details

Data Sources:

Spider dataset, richardr1126/spider-natsql-context-instruct

Methodology:

Finetuning using QLoRa

Hardware Used:

single RTX6000 48GB

LLM Name	Spider Natsql Wizard Coder Qlora
Repository 🤗	https://huggingface.co/richardr1126/spider-natsql-wizard-coder-qlora
Base Model(s)	WizardLM/WizardCoder-15B-V1.0 WizardLM/WizardCoder-15B-V1.0
Model Size	15b
Required VRAM	0.9 GB
Updated	2026-07-07
Maintainer	richardr1126
Instruction-Based	Yes
Model Files	0.9 GB 0.0 GB
Generates Code	Yes
Model Architecture	Adapter
License	bigcode-openrail-m
Model Max Length	2048
Is Biased	none
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	c_proj\|c_attn\|c_fc
LoRA Alpha	16
LoRA Dropout	0.1
R Param	64

Rank the Spider Natsql Wizard Coder Qlora 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 Spider Natsql Wizard Coder Qlora

Model	Likes	Downloads	VRAM
WizardCoder 15B 1.0 GPTQ	176	77	9 GB
WizardCoder 15B 1.0 GGML	115	11	10 GB
WizardCoder 15B V1.0 8bit	1	3	16 GB

Best Alternatives to Spider Natsql Wizard Coder Qlora

Best Alternatives	Context / RAM	Downloads	Likes
...er Skeleton Wizard Coder Qlora	0K / 0.4 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than richardr1126/spider-natsql-wizard-coder-qlora.