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

Deepseek Coder 1.3B Instruct 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 Instruct GPTQ and how large is it?

Deepseek Coder 1.3B Instruct 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 Instruct GPTQ?

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

Name: Deepseek Coder 1.3B Instruct GPTQ
Author: TheBloke

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

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

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

Deepseek Coder 1.3B Instruct GPTQ Parameters and Internals

Model Type

deepseek, code language model

Use Cases

Areas:

code completion, instruction following

Applications:

HumanEval, MultiPL-E, MBPP, DS-1000, APPS benchmarks

Supported Languages

English (both code and natural language (87% code, 13% natural language)), Chinese (both code and natural language (87% code, 13% natural language))

Training Details

Data Sources:

2T tokens including code and linguistic data

Data Volume:

2T tokens

Methodology:

Trained from scratch with a window size of 16K and additional fill-in-the-blank task

Context Length:

16000

Input Output

Input Format:

{prompt}

LLM Name	Deepseek Coder 1.3B Instruct GPTQ
Repository 🤗	https://huggingface.co/TheBloke/deepseek-coder-1.3b-instruct-GPTQ
Model Name	Deepseek Coder 1.3B Instruct
Model Creator	DeepSeek
Base Model(s)	deepseek-ai/deepseek-coder-1.3b-instruct deepseek-ai/deepseek-coder-1.3b-instruct
Model Size	1.3b
Required VRAM	0.9 GB
Updated	2026-08-01
Maintainer	TheBloke
Model Type	deepseek
Instruction-Based	Yes
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	<\|EOT\|>
Vocabulary Size	32256
Torch Data Type	bfloat16

Rank the Deepseek Coder 1.3B Instruct GPTQ 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 1.3B Instruct GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 1.3B Instruct	16K / 2.7 GB	92255	176
Speechless Coder Ds 1.3B	16K / 2.7 GB	180	0
...c Deepseek Coder 1.3B Instruct	16K / 5.4 GB	5	0
Hpc Coder V2.1.3B	16K / 2.7 GB	15	5
... 1.3B Instruct Trt Int4 G64 Hf	16K / 0.9 GB	7	0
...t Structured Output Peft Merge	16K / 2.7 GB	14	0
Datascience Coder 1.3B	16K / 2.7 GB	6	1
...epseek Coder 1.3B Instruct AWQ	8K / 0.9 GB	80	5
...Coder 1.3B Function Calling V1	16K / 2.7 GB	457	2

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