What are the hardware requirements for Codegemma 7B Bnb 4bit?

Codegemma 7B Bnb 4bit requires approximately 5.6 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 Codegemma 7B Bnb 4bit and how large is it?

Codegemma 7B Bnb 4bit is developed by unsloth, a model with 7b 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 Codegemma 7B Bnb 4bit?

Codegemma 7B Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Codegemma 7B Bnb 4bit by unsloth — VRAM 5.6GB, 8K context

Name: Codegemma 7B Bnb 4bit
Author: unsloth

Codegemma 7B Bnb 4bit is an open-source language model by unsloth. Features: 7b LLM, VRAM: 5.6GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4-bit 4bit Bitsandbytes Bnb En Endpoints compatible Gemma Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/codegemma-7b-bnb-4bit

Codegemma 7B Bnb 4bit Benchmarks

LLME Score: 0.12817

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Codegemma 7B Bnb 4bit (unsloth/codegemma-7b-bnb-4bit)

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Codegemma 7B Bnb 4bit Parameters and Internals

Model Type

text generation

Use Cases

Areas:

beginner-friendly fine-tuning and text generation

Applications:

finetuning models for faster and memory-efficient performance, exporting models to various formats, uploading models to Hugging Face

Primary Use Cases:

2x faster fine-tuning

Additional Notes

Unsloth provides free Colab notebooks for beginners to finetune models efficiently.

LLM Name	Codegemma 7B Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/codegemma-7b-bnb-4bit
Model Size	7b
Required VRAM	5.6 GB
Updated	2026-05-08
Maintainer	unsloth
Model Type	gemma
Model Files	5.6 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Quantized Models of the Codegemma 7B Bnb 4bit

Model	Likes	Downloads	VRAM
Codegemma 7B Tofutune Gguf	0	8	5 GB

Best Alternatives to Codegemma 7B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...t Cleaner Gemma 32k Merged 16b	31K / 17.1 GB	5	0
...ruct Malayalam Model Vllm 4bit	16K / 5.6 GB	6	0
Gemma 1.1 7B It 4bit	8K / 5.9 GB	186	4
Gemma 1.1 7B It 4bit	8K / 5.9 GB	5	1
Gemma 7B 8bit	8K / 9.4 GB	4	1
... Codegemma 2 7B It Alpaca V1.2	8K / 17.1 GB	12	0
Codegemma 7B It 8bit	8K / 9.5 GB	237	5
Fbt Gemma 7B	8K / 17.1 GB	7	0
Codegemma 7B It 4bit	8K / 5.9 GB	44	1
Codegemma 7B 4bit	8K / 5.9 GB	42	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/codegemma-7b-bnb-4bit.

Rank the Codegemma 7B Bnb 4bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Codegemma 7B Bnb 4bit by unsloth