What are the hardware requirements for Starcoderbase 1B Hf Python?

Starcoderbase 1B Hf Python requires approximately 2.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Starcoderbase 1B Hf Python and how large is it?

Starcoderbase 1B Hf Python is developed by nadiamaqbool81, a model with 1b 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 Starcoderbase 1B Hf Python?

Starcoderbase 1B Hf Python is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Starcoderbase 1B Hf Python by nadiamaqbool81 — VRAM 2.3GB

Name: Starcoderbase 1B Hf Python
Author: nadiamaqbool81

Starcoderbase 1B Hf Python is an open-source language model by nadiamaqbool81. Features: 1b LLM, VRAM: 2.3GB, Instruction-Based, Code Generating, LLM Explorer Score: 0.09.

Codegen Dataset:nadiamaqbool81/python ... Endpoints compatible Gpt bigcode Instruct Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/nadiamaqbool81/starcoderbase-1b-hf_python

Starcoderbase 1B Hf Python Parameters and Internals

Model Type

text2text-generation

LLM Name	Starcoderbase 1B Hf Python
Repository 🤗	https://huggingface.co/nadiamaqbool81/starcoderbase-1b-hf_python
Model Size	1b
Required VRAM	2.3 GB
Updated	2026-08-07
Maintainer	nadiamaqbool81
Model Type	gpt_bigcode
Instruction-Based	Yes
Model Files	2.3 GB
Generates Code	Yes
Model Architecture	GPTBigCodeForCausalLM
Transformers Version	4.31.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	float16
Activation Function	gelu_pytorch_tanh

Rank the Starcoderbase 1B Hf Python 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

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