Llama 3.1 8B Instruct Spatial SQL 1.0 by markrodrigo

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Llama 3.1 8B Instruct Spatial SQL 1.0 is an open-source language model by markrodrigo. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3, Instruction-Based, LLM Explorer Score: 0.15.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Code   Conversational   En   Es   Gis   Instruct   Llama   Postgis   Region:us   Safetensors   Sharded   Spatial   Sql   Tensorflow   Zh

Llama 3.1 8B Instruct Spatial SQL 1.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B Instruct Spatial SQL 1.0 (markrodrigo/Llama-3.1-8B-Instruct-Spatial-SQL-1.0)
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Llama 3.1 8B Instruct Spatial SQL 1.0 Parameters and Internals

LLM NameLlama 3.1 8B Instruct Spatial SQL 1.0
Repository ๐Ÿค—https://huggingface.co/markrodrigo/Llama-3.1-8B-Instruct-Spatial-SQL-1.0 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
Maintainermarkrodrigo
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen zh es
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than markrodrigo/Llama-3.1-8B-Instruct-Spatial-SQL-1.0.

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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  
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Multi-Language Support and Translation  

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Release v20260327b