What are the hardware requirements for Granite 20B Code Base GGUF?

Granite 20B Code Base GGUF requires approximately 12.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Granite 20B Code Base GGUF and how large is it?

Granite 20B Code Base GGUF is developed by cobrakenji, a model with 20b 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 Granite 20B Code Base GGUF?

Granite 20B Code Base GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Granite 20B Code Base GGUF by cobrakenji — VRAM 12.8GB

Name: Granite 20B Code Base GGUF
Author: cobrakenji

Granite 20B Code Base GGUF is an open-source language model by cobrakenji. Features: 20b LLM, VRAM: 12.8GB, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.12.

Code Codegen Dataset:bigcode/starcoderdata Dataset:codeparrot/github-code... Dataset:math-ai/stackmathqa Dataset:open-web-math/open-web... Endpoints compatible Gguf Gpt bigcode Granite Model-index Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/cobrakenji/granite-20b-code-base-GGUF

Granite 20B Code Base GGUF Parameters and Internals

Model Type

text-generation

LLM Name	Granite 20B Code Base GGUF
Repository 🤗	https://huggingface.co/cobrakenji/granite-20b-code-base-GGUF
Base Model(s)	Granite 20B Code Base ibm-granite/granite-20b-code-base
Model Size	20b
Required VRAM	12.8 GB
Updated	2026-07-27
Maintainer	cobrakenji
Model Type	gpt_bigcode
Model Files	12.8 GB
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	GPTBigCodeForCausalLM
License	apache-2.0
Model Max Length	9223372036854775807
Transformers Version	4.38.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49152
Torch Data Type	bfloat16
Activation Function	gelu_pytorch_tanh

Rank the Granite 20B Code Base 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 Granite 20B Code Base GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Granite 20B Code Instruct 8K	0K / 40 GB	9754	43
Granite 20B Code Instruct	0K / 40 GB	10209	30
Granite 20B Code Base	0K / 40 GB	2250	12
Granite 20B Functioncalling	0K / 40 GB	210	36
Granite 20B Code Base 8K	0K / 40 GB	1221	14
Granite 20B Code Instruct R1.1	0K / 40 GB	37	1
Granite 20B Code Base R1.1	0K / 40 GB	23	2
Granite 20B Code Base FP8	0K / 20.4 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than cobrakenji/granite-20b-code-base-GGUF.