What are the hardware requirements for Deepseek Coder 1.3B Base GPTQ?

Deepseek Coder 1.3B Base GPTQ requires approximately 0.9 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepseek Coder 1.3B Base GPTQ and how large is it?

Deepseek Coder 1.3B Base GPTQ is developed by TheBloke, a model with 1.3b 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 Deepseek Coder 1.3B Base GPTQ?

Deepseek Coder 1.3B Base GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Coder 1.3B Base GPTQ by TheBloke — VRAM 0.9GB, 16K context

Name: Deepseek Coder 1.3B Base GPTQ
Author: TheBloke

Deepseek Coder 1.3B Base GPTQ is an open-source language model by TheBloke. Features: 1.3b LLM, VRAM: 0.9GB, Context: 16K, License: other, Quantized, Code Generating, LLM Explorer Score: 0.09.

4-bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Codegen Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/deepseek-coder-1.3b-base-GPTQ

Deepseek Coder 1.3B Base GPTQ Parameters and Internals

Model Type

deepseek

Use Cases

Areas:

research, commercial applications

Applications:

code completion, project-level code completion, code infilling

Primary Use Cases:

Advanced Code Completion, Repository Level Code Completion

Additional Notes

Quantization performed by TheBloke with multiple GPTQ parameter permutations provided

Supported Languages

English (High proficiency), Chinese (High proficiency)

Training Details

Data Sources:

project-level code corpus

Data Volume:

2 trillion tokens

Context Length:

16000

Model Architecture:

Multi-Head Attention

LLM Name	Deepseek Coder 1.3B Base GPTQ
Repository 🤗	https://huggingface.co/TheBloke/deepseek-coder-1.3b-base-GPTQ
Model Name	Deepseek Coder 1.3B Base
Model Creator	DeepSeek
Base Model(s)	deepseek-ai/deepseek-coder-1.3b-base deepseek-ai/deepseek-coder-1.3b-base
Model Size	1.3b
Required VRAM	0.9 GB
Updated	2026-08-03
Maintainer	TheBloke
Model Type	deepseek
Model Files	0.9 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256
Torch Data Type	bfloat16

Rank the Deepseek Coder 1.3B Base GPTQ capabilities

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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 1.3B Base GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...pseek Coder 1.3B Instruct GPTQ	16K / 0.9 GB	91	7
Imagine V8	16K / 2.7 GB	702	1
Deepseek Coder 1.3B Instruct	16K / 2.7 GB	92255	176
Llm4decompile 1.3B V2	16K / 2.7 GB	1272	11
...1.3B Chat And Function Calling	16K / 2.7 GB	238	0
Speechless Coder Ds 1.3B	16K / 2.7 GB	180	0
Deepseek Coder 1.3B Chat	16K / 2.7 GB	98	1
...c Deepseek Coder 1.3B Instruct	16K / 5.4 GB	5	0
CursorCore DS 1.3B SR	16K / 2.7 GB	29	2
CursorCore DS 1.3B LC	16K / 2.7 GB	27	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/deepseek-coder-1.3b-base-GPTQ.