What are the hardware requirements for Deepseek Coder 33B Instruct AQLM?

Deepseek Coder 33B Instruct AQLM requires approximately 9.6 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 Deepseek Coder 33B Instruct AQLM and how large is it?

Deepseek Coder 33B Instruct AQLM is developed by TechxGenus, 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 Deepseek Coder 33B Instruct AQLM?

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

Deepseek Coder 33B Instruct AQLM by TechxGenus — VRAM 9.6GB, 2K context

Name: Deepseek Coder 33B Instruct AQLM
Author: TechxGenus

Deepseek Coder 33B Instruct AQLM is an open-source language model by TechxGenus. Features: 33b LLM, VRAM: 9.6GB, Context: 2K, License: other, Instruction-Based, Code Generating, LLM Explorer Score: 0.12.

Arxiv:2401.06118 Aqlm Codegen Conversational Endpoints compatible Instruct Llama Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/TechxGenus/deepseek-coder-33b-instruct-AQLM

Deepseek Coder 33B Instruct AQLM Parameters and Internals

Model Type

code completion, instruction fine-tuning

Use Cases

Areas:

research, commercial applications

Applications:

state-of-the-art performance in multiple programming languages, various benchmarks

Primary Use Cases:

project-level code completion, code infilling

Additional Notes

Deepseek Coder models support commercial use.

Supported Languages

English (fluent), Chinese (fluent)

Training Details

Data Sources:

project-level code corpus, 2T tokens including 87% code and 13% natural language in English and Chinese

Data Volume:

2T tokens

Methodology:

fill-in-the-blank task

Context Length:

16000

Input Output

Accepted Modalities:

text

LLM Name	Deepseek Coder 33B Instruct AQLM
Repository 🤗	https://huggingface.co/TechxGenus/deepseek-coder-33b-instruct-AQLM
Model Size	33b
Required VRAM	9.6 GB
Updated	2026-07-29
Maintainer	TechxGenus
Model Type	llama
Instruction-Based	Yes
Model Files	9.6 GB
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<\|EOT\|>
Vocabulary Size	32256
Torch Data Type	float16

Rank the Deepseek Coder 33B Instruct AQLM 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 Deepseek Coder 33B Instruct AQLM

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Wizard 33B Slerp	16K / 35.3 GB	7	0
ValidateAI 3 33B Ties	16K / 66.5 GB	7	0
ValidateAI 2 33B AT	16K / 66.5 GB	6	0
Deepseek Coder 33B Instruct	16K / 66.5 GB	3376	580
...er 33B Instruct 4.0bpw H6 EXL2	16K / 17.1 GB	5	5
...er 33B Instruct 8.0bpw H8 EXL2	16K / 33.6 GB	6	3
...er 33B Instruct 3.0bpw H6 EXL2	16K / 13 GB	10	1
...r 33B Instruct 4.65bpw H6 EXL2	16K / 19.8 GB	6	1
...er 33B Instruct 5.0bpw H6 EXL2	16K / 21.2 GB	5	1
...eepseek Coder 33B Instruct AWQ	16K / 18.1 GB	731	42

Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/deepseek-coder-33b-instruct-AQLM.