What are the hardware requirements for Quantized Granite 4bit 3B Code Instruct?

Quantized Granite 4bit 3B Code Instruct requires approximately 2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Quantized Granite 4bit 3B Code Instruct and how large is it?

Quantized Granite 4bit 3B Code Instruct is developed by RyanJT, a model with 3b 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 Quantized Granite 4bit 3B Code Instruct?

Quantized Granite 4bit 3B Code Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Quantized Granite 4bit 3B Code Instruct by RyanJT — VRAM 2GB, 2K context

Name: Quantized Granite 4bit 3B Code Instruct
Author: RyanJT

Quantized Granite 4bit 3B Code Instruct is an open-source language model by RyanJT. Features: 3b LLM, VRAM: 2GB, Context: 2K, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit 4bit Bitsandbytes Conversational Endpoints compatible Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/RyanJT/quantized-granite-4bit-3b-code-instruct

Quantized Granite 4bit 3B Code Instruct Parameters and Internals

LLM Name	Quantized Granite 4bit 3B Code Instruct
Repository 🤗	https://huggingface.co/RyanJT/quantized-granite-4bit-3b-code-instruct
Model Size	3b
Required VRAM	2 GB
Updated	2026-01-03
Maintainer	RyanJT
Model Type	llama
Instruction-Based	Yes
Model Files	2.0 GB
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.42.0.dev0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49152
Torch Data Type	float16

Rank the Quantized Granite 4bit 3B Code Instruct 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

Quantized Models of the Quantized Granite 4bit 3B Code Instruct

Model	Likes	Downloads	VRAM
Trained Quant 4bit	0	7	0 GB

Best Alternatives to Quantized Granite 4bit 3B Code Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...lama 3.2 3B Asr Refiner Merged	128K / 6.5 GB	1517	1
Llama3 Finetuned Id 16bit	128K / 6.5 GB	652	0
Fine Tuning LLM	128K / 6.5 GB	380	0
Llama 3.2 3B Legal SFT	128K / 6.5 GB	294	0
...Llama 3.2 3B Legal Chatbot Sft	128K / 6.5 GB	817	0
Fine Tuning LLM	128K / 6.5 GB	534	0
Slm Rag Sft Merged	128K / 6.5 GB	297	0
Legal Chatbot Sft Llama3.2 3B	128K / 6.5 GB	230	0
...lama 3.2 3B Legal Assistant Id	128K / 6.5 GB	283	0
Llama3.2 3B Legal Id Ft	128K / 6.5 GB	264	0

Note: green Score (e.g. "73.2") means that the model is better than RyanJT/quantized-granite-4bit-3b-code-instruct.