What are the hardware requirements for Math Solver Gemma 270M Fine Tune?

Math Solver Gemma 270M Fine Tune requires approximately 1.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Math Solver Gemma 270M Fine Tune and how large is it?

Math Solver Gemma 270M Fine Tune is developed by talhakhanak002, a model with 270m 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 Math Solver Gemma 270M Fine Tune?

Math Solver Gemma 270M Fine Tune is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Math Solver Gemma 270M Fine Tune by talhakhanak002 — VRAM 1.1GB, 32K context

Name: Math Solver Gemma 270M Fine Tune
Author: talhakhanak002

Math Solver Gemma 270M Fine Tune is an open-source language model by talhakhanak002. Features: 270m LLM, VRAM: 1.1GB, Context: 32K, LLM Explorer Score: 0.31.

Base model:finetune:google/gem... Base model:google/gemma-3-270m... Conversational Endpoints compatible Gemma3 text Generated from trainer Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/talhakhanak002/math-solver-gemma-270M-fine-tune

Math Solver Gemma 270M Fine Tune Parameters and Internals

LLM Name	Math Solver Gemma 270M Fine Tune
Repository 🤗	https://huggingface.co/talhakhanak002/math-solver-gemma-270M-fine-tune
Model Name	results
Base Model(s)	Gemma 3 270M It google/gemma-3-270m-it
Model Size	270m
Required VRAM	1.1 GB
Updated	2026-10-22
Maintainer	talhakhanak002
Model Type	gemma3_text
Model Files	1.1 GB 0.0 GB
Model Architecture	Gemma3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.18.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144

Rank the Math Solver Gemma 270M Fine Tune 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 Math Solver Gemma 270M Fine Tune

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 270M	32K / 0.5 GB	5434146	1041
Gemma 3 270M It	32K / 0.5 GB	1222057	604
Functiongemma 270M It	32K / 0.5 GB	38635	1044
Kairos Quality Intent	32K / GB	353	1
...Extract Gemma 3 270M Finetuned	32K / 1.1 GB	358	1
Kavach PII 270M	32K / 0.5 GB	533	1
Gemma 3 270M	32K / 0.5 GB	234	0
...ract Gemma 3 270M Fine Tune V1	32K / 0.5 GB	153	1
...gemma 270M It Prepaid Cards V2	32K / 0.5 GB	534	0
Gemma3 270M Manumit V1	32K / 0.5 GB	134	0

Note: green Score (e.g. "73.2") means that the model is better than talhakhanak002/math-solver-gemma-270M-fine-tune.