What are the hardware requirements for Gemma 2B It Q4 K M GGUF?

Gemma 2B It Q4 K M GGUF requires approximately 1.6 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2B It Q4 K M GGUF and how large is it?

Gemma 2B It Q4 K M GGUF is developed by codegood, 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 Gemma 2B It Q4 K M GGUF?

Gemma 2B It Q4 K M GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2B It Q4 K M GGUF by codegood — VRAM 1.6GB, 8K context

Name: Gemma 2B It Q4 K M GGUF
Author: codegood

Gemma 2B It Q4 K M GGUF is an open-source language model by codegood. Features: 2b LLM, VRAM: 1.6GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.13.

Conversational Endpoints compatible Gemma Gguf Gguf-my-repo Llama-cpp Q4 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/codegood/gemma-2b-it-Q4_K_M-GGUF

Gemma 2B It Q4 K M GGUF Parameters and Internals

LLM Name	Gemma 2B It Q4 K M GGUF
Repository 🤗	https://huggingface.co/codegood/gemma-2b-it-Q4_K_M-GGUF
Model Size	2b
Required VRAM	1.6 GB
Updated	2026-07-30
Maintainer	codegood
Model Type	gemma
Model Files	1.6 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	GemmaForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2B It Q4 K M GGUF 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 Gemma 2B It Q4 K M GGUF

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Gemma 2B It	8K / 5.1 GB	70066	940
Gemma 2B	8K / 5.1 GB	321518	1190
Gemma 2B It	8K / 1.5 GB	26	0
Gemma 2B It	8K / 5.1 GB	27	1
Gemma 2B T	8K / 5.1 GB	28	0
Gemma 2B It Code	8K / 5.1 GB	20	0
Gemma 2B It Q	8K / 1.6 GB	27	1
Gemma Help Tiny Sft	8K / 5.1 GB	21	1
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...mma 2b Sauerkraut Gguf Chunked	8K / 0.1 GB	36	0

Note: green Score (e.g. "73.2") means that the model is better than codegood/gemma-2b-it-Q4_K_M-GGUF.