What are the hardware requirements for Termgrade Gemma4 31B Lora?

Termgrade Gemma4 31B Lora requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Termgrade Gemma4 31B Lora and how large is it?

Termgrade Gemma4 31B Lora is developed by ai-and, a model with 31b 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 Termgrade Gemma4 31B Lora?

Termgrade Gemma4 31B Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Termgrade Gemma4 31B Lora by ai-and — VRAM 0.5GB

Name: Termgrade Gemma4 31B Lora
Author: ai-and

Termgrade Gemma4 31B Lora is an open-source language model by ai-and. Features: 31b LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.29.

Adapter Agentic Base model:adapter:google/gemm... Base model:google/gemma-4-31b-... Dapo Dataset:ai-and/termgrade-bandc... Finetuned Grpo Lora Peft Region:us Rl Safetensors Terminal-bench Verl

Model Card on HF 🤗: https://huggingface.co/ai-and/termgrade-gemma4-31b-lora

Termgrade Gemma4 31B Lora Parameters and Internals

LLM Name	Termgrade Gemma4 31B Lora
Repository 🤗	https://huggingface.co/ai-and/termgrade-gemma4-31b-lora
Base Model(s)	Gemma 4 31B It google/gemma-4-31B-it
Model Size	31b
Required VRAM	0.5 GB
Updated	2026-10-12
Maintainer	ai-and
Model Files	0.5 GB
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|up_proj\|v_proj\|down_proj\|gate_proj\|k_proj\|o_proj
LoRA Alpha	64
LoRA Dropout	0
R Param	32

Rank the Termgrade Gemma4 31B Lora capabilities

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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
Code Generation
Multi-Language Support and Translation

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