Who developed Sql Gemma 2M and how large is it?

Sql Gemma 2M is developed by rudrashah, a model with 2m 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 Sql Gemma 2M?

Sql Gemma 2M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sql Gemma 2M by rudrashah

Name: Sql Gemma 2M
Author: rudrashah

Sql Gemma 2M is an open-source language model by rudrashah. Features: 2m LLM, License: mit, LLM Explorer Score: 0.13.

Dataset:gretelai/synthetic tex... En Endpoints compatible Gemma Region:us Sql

Model Card on HF 🤗: https://huggingface.co/rudrashah/sql_gemma_2M

Sql Gemma 2M Benchmarks

LLME Score: 0.12909

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Sql Gemma 2M Parameters and Internals

Supported Languages

en (native)

LLM Name	Sql Gemma 2M
Repository 🤗	https://huggingface.co/rudrashah/sql_gemma_2M
Model Size	2m
Updated	2026-04-17
Maintainer	rudrashah
Supported Languages	en
Model Architecture	AutoModel
License	mit

Best Alternatives to Sql Gemma 2M

Best Alternatives	Context / RAM	Downloads	Likes
Genx Synthetic Data Generator	0K / 0 GB	15	0
Gemma2 2B Code Lora	0K / 0.1 GB	0	1
...emma 2B Finetuned Sft Navarasa	0K / 0.3 GB	0	7
Telugu Gemma 2B Finetuned Sft	0K / 0.3 GB	0	3
Ct2fast Codegen 2B Multi	0K / 5.6 GB	27	1
Ct2fast Codegen 2B Mono	0K / 5.6 GB	12	1
...ari OCR 0.2.2.1 VL 2B Instruct	0K / 0.1 GB	14277	23
Gemma2 2B Evol Lora	0K / 0.1 GB	0	1
Gemma 2 2B It GGUF	0K / 0.8 GB	89357	14
Mergekit Slerp Lvhhlmq GGUF	0K / 1.2 GB	100	0

Note: green Score (e.g. "73.2") means that the model is better than rudrashah/sql_gemma_2M.

Rank the Sql Gemma 2M Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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