Who developed Retrico Lm 2B Sft Gemma and how large is it?

Retrico Lm 2B Sft Gemma is developed by knowledgator, a model with 2b 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 Retrico Lm 2B Sft Gemma?

Retrico Lm 2B Sft Gemma is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Retrico Lm 2B Sft Gemma by knowledgator

Name: Retrico Lm 2B Sft Gemma
Author: knowledgator

Retrico Lm 2B Sft Gemma is an open-source language model by knowledgator. Features: 2b LLM, LLM Explorer Score: 0.24.

Gemma4 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/knowledgator/retrico-lm-2b-sft-gemma

Retrico Lm 2B Sft Gemma Parameters and Internals

LLM Name	Retrico Lm 2B Sft Gemma
Repository 🤗	https://huggingface.co/knowledgator/retrico-lm-2b-sft-gemma
Model Size	2b
Required VRAM	0 GB
Updated	2026-05-05
Maintainer	knowledgator
Model Type	gemma4
Model Files	10.2 GB 7.6 GB 0.0 GB 0.0 GB
Model Architecture	Gemma4ForConditionalGeneration
Transformers Version	5.5.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Retrico Lm 2B Sft Gemma 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 Retrico Lm 2B Sft Gemma

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4B It UD MLX 4bit	0K / 6.6 GB	1501	45

Note: green Score (e.g. "73.2") means that the model is better than knowledgator/retrico-lm-2b-sft-gemma.