What are the hardware requirements for Code 33B?

Code 33B requires approximately 65.3 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 Code 33B and how large is it?

Code 33B is developed by ajibawa-2023, a model with 33b 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 Code 33B?

Code 33B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Code 33B by ajibawa-2023 — VRAM 65.3GB, 2K context

Name: Code 33B
Author: ajibawa-2023

Code 33B is an open-source language model by ajibawa-2023. Features: 33b LLM, VRAM: 65.3GB, Context: 2K, License: cc-by-nc-nd-4.0, LLM Explorer Score: 0.1.

Code Dataset:ajibawa-2023/code-74k-... En Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/ajibawa-2023/Code-33B

Code 33B Parameters and Internals

Model Type

code generation

Use Cases

Areas:

research, code assistance

Applications:

code generation, programming tutorials

Additional Notes

Special thanks to the Open Source community and TheBloke for quantized models.

Supported Languages

en (High proficiency)

Training Details

Data Sources:

Code-74k-ShareGPT, Python-Code-23k-ShareGPT

Data Volume:

74000 sets of codes, each having 2 conversations

Methodology:

Full fine-tuning with detailed code explanations

Training Time:

6 days & 5 hours for 3 epochs

Hardware Used:

4 x A100 80GB GPUs

Input Output

Input Format:

Vicuna/ShareGPT format v1.1

LLM Name	Code 33B
Repository 🤗	https://huggingface.co/ajibawa-2023/Code-33B
Model Size	33b
Required VRAM	65.3 GB
Updated	2026-08-06
Maintainer	ajibawa-2023
Model Type	llama
Model Files	8.5 GB: 1-of-8 8.6 GB: 2-of-8 8.6 GB: 3-of-8 8.6 GB: 4-of-8 8.6 GB: 5-of-8 8.6 GB: 6-of-8 8.6 GB: 7-of-8 5.2 GB: 8-of-8
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-nd-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Code 33B 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 Code 33B

Model	Likes	Downloads	VRAM
Code 33B GGUF	5	303	13 GB
Code 33B AWQ	3	4	17 GB
Code 33B GPTQ	2	6	16 GB

Best Alternatives to Code 33B

Best Alternatives	Context / RAM	Downloads	Likes
Llm Jp 4 33B Thinking	64K / 66.8 GB	192	24
Llm Jp 4 33B Base	64K / 66.8 GB	89	8
Llm Jp 4 33B Thinking NVFP4	64K / 21.6 GB	79	1
Llm Jp 4 33B Thinking Nvfp4	64K / 21.5 GB	38	2
...angled Llama 33M 32K Base V0.1	32K / 0.1 GB	22	1
ReflectionCoder DS 33B	16K / 67 GB	8293	4
Deepseek Wizard 33B Slerp	16K / 35.3 GB	7	0
ValidateAI 33B Slerp	16K / 35.4 GB	7	0
ValidateAI 3 33B Ties	16K / 66.5 GB	7	0
ValidateAI 2 33B AT	16K / 66.5 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than ajibawa-2023/Code-33B.