What are the hardware requirements for Granite 34B Code Instruct AWQ?

Granite 34B Code Instruct AWQ requires approximately 18.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Granite 34B Code Instruct AWQ and how large is it?

Granite 34B Code Instruct AWQ is developed by KnutJaegersberg, a model with 34b 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 34B Code Instruct AWQ?

Granite 34B Code Instruct AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Granite 34B Code Instruct AWQ by KnutJaegersberg — VRAM 18.6GB

Name: Granite 34B Code Instruct AWQ
Author: KnutJaegersberg

Granite 34B Code Instruct AWQ is an open-source language model by KnutJaegersberg. Features: 34b LLM, VRAM: 18.6GB, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

4-bit Awq Codegen Conversational Endpoints compatible Gpt bigcode Instruct Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/granite-34b-code-instruct-awq

Granite 34B Code Instruct AWQ Parameters and Internals

LLM Name	Granite 34B Code Instruct AWQ
Repository 🤗	https://huggingface.co/KnutJaegersberg/granite-34b-code-instruct-awq
Base Model(s)	Granite 34B Code Instruct ibm-granite/granite-34b-code-instruct
Model Size	34b
Required VRAM	18.6 GB
Updated	2026-08-06
Maintainer	KnutJaegersberg
Model Type	gpt_bigcode
Instruction-Based	Yes
Model Files	5.6 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 3.2 GB: 4-of-4
AWQ Quantization	Yes
Quantization Type	awq
Generates Code	Yes
Model Architecture	GPTBigCodeForCausalLM
License	apache-2.0
Model Max Length	9223372036854775807
Transformers Version	4.38.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49152
Torch Data Type	float16
Activation Function	gelu_pytorch_tanh

Rank the Granite 34B Code Instruct AWQ 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 34B Code Instruct AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Granite 34B Code Instruct	0K / 67.1 GB	2710	68
Granite 34B Code Instruct 8K	0K / 67.1 GB	574	78

Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/granite-34b-code-instruct-awq.