What are the hardware requirements for Datascience Coder 1.3B?

Datascience Coder 1.3B requires approximately 2.7 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 Datascience Coder 1.3B and how large is it?

Datascience Coder 1.3B is developed by ed001, 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 Datascience Coder 1.3B?

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

Datascience Coder 1.3B by ed001 — VRAM 2.7GB, 16K context

Name: Datascience Coder 1.3B
Author: ed001

Datascience Coder 1.3B is an open-source language model by ed001. Features: 1.3b LLM, VRAM: 2.7GB, Context: 16K, License: cc-by-nc-sa-4.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.1.

Code Codegen Conversational Data science Dataset:ed001/ds-coder-instruc... En Endpoints compatible Instruct Llama Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ed001/datascience-coder-1.3b

Datascience Coder 1.3B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Coding, Data Science

Applications:

Assistance in coding for data science applications

Additional Notes

Models available in 1.3b and 6.7b variants

Supported Languages

en (High)

Training Details

Data Sources:

ds-coder-instruct-v1 dataset

Methodology:

Fine-tuning with instruction prompts

Context Length:

4096

Input Output

Input Format:

Instruction prompts

Accepted Modalities:

text

Output Format:

text

LLM Name	Datascience Coder 1.3B
Repository 🤗	https://huggingface.co/ed001/datascience-coder-1.3b
Model Size	1.3b
Required VRAM	2.7 GB
Updated	2026-07-20
Maintainer	ed001
Model Type	llama
Instruction-Based	Yes
Model Files	2.7 GB 2.7 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	cc-by-nc-sa-4.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<\|EOT\|>
Vocabulary Size	32256
Torch Data Type	float16

Rank the Datascience Coder 1.3B 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 Datascience Coder 1.3B

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
...pseek Coder 1.3B Instruct GPTQ	16K / 0.9 GB	91	7
...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 ed001/datascience-coder-1.3b.