Gemma2b Based Finetuned Using Ludwig With Tldrnews Summarization T4 4bit Notmerged by alexsherstinsky

Name: Gemma2b Based Finetuned Using Ludwig With Tldrnews Summarization T4 4bit Notmerged
Author: alexsherstinsky

Gemma2b Based Finetuned Using Ludwig With Tldrnews Summarization T4 4bit Notmerged is an open-source language model by alexsherstinsky. Features: 2b LLM, Quantized, Fine-Tuned, LLM Explorer Score: 0.11.

Arxiv:1910.09700 4bit Adapter Base model:adapter:google/gemm... Base model:google/gemma-2b-it Finetuned Lora Peft Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/alexsherstinsky/gemma2b-based-finetuned-using-ludwig-with-tldrnews-summarization-T4-4bit-notmerged

Gemma2b Based Finetuned Using Ludwig With Tldrnews Summarization T4 4bit Notmerged Parameters and Internals

LLM Name	Gemma2b Based Finetuned Using Ludwig With Tldrnews Summarization T4 4bit Notmerged
Repository 🤗	https://huggingface.co/alexsherstinsky/gemma2b-based-finetuned-using-ludwig-with-tldrnews-summarization-T4-4bit-notmerged
Base Model(s)	Gemma 2B It google/gemma-2b-it
Model Size	2b
Required VRAM	0 GB
Updated	2026-05-03
Maintainer	alexsherstinsky
Model Files	0.0 GB
Quantization Type	4bit
Model Architecture	Adapter
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	8

Rank the Gemma2b Based Finetuned Using Ludwig With Tldrnews Summarization T4 4bit Notmerged 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 Gemma2b Based Finetuned Using Ludwig With Tldrnews Summarization T4 4bit Notmerged

Best Alternatives	Context / RAM	Downloads	Likes
...og Summerizer Gemma 2B It 4bit	0K / 0.2 GB	5	0
Finetuned Gemma3	8K / 5.1 GB	5	0
Reflex Reason 2B	0K / 0.1 GB	40	1
Imajev 2B	0K / 0.1 GB	26	2
...Chess Reasoner Qwen3.5 2B Lora	0K / 0.1 GB	16	0
Mininpc 1	0K / 0.1 GB	37	1
Aura V1 Lora	0K / 0.1 GB	18	1
...y Qwen3vl Bigearthnet Txt Lora	0K / 0.1 GB	59	1
Kokolok 2.0 Vision	0K / 0 GB	38	1
Openhermes 2B Gemma Sft Qlora	0K / 0 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than alexsherstinsky/gemma2b-based-finetuned-using-ludwig-with-tldrnews-summarization-T4-4bit-notmerged.