What are the hardware requirements for Starcoder2 15B Instruct?

Starcoder2 15B Instruct requires approximately 31.9 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 Starcoder2 15B Instruct and how large is it?

Starcoder2 15B Instruct is developed by TechxGenus, a model with 15b 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 Starcoder2 15B Instruct?

Starcoder2 15B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Starcoder2 15B Instruct by TechxGenus — VRAM 31.9GB, 16K context

Name: Starcoder2 15B Instruct
Author: TechxGenus

Starcoder2 15B Instruct is an open-source language model by TechxGenus. Features: 15b LLM, VRAM: 31.9GB, Context: 16K, License: bigcode-openrail-m, Instruction-Based, LLM Explorer Score: 0.11.

Code Endpoints compatible Instruct Region:us Safetensors Sharded Starcoder2 Tensorflow

Model Card on HF 🤗: https://huggingface.co/TechxGenus/starcoder2-15b-instruct

Starcoder2 15B Instruct Parameters and Internals

Model Type

text generation

Additional Notes

Model operates using the Alpaca instruction format (excluding the system prompt).

Training Details

Data Volume:

0.7 billion high-quality code-related tokens

Training Time:

3 epochs

Hardware Used:

DeepSpeed ZeRO 3, Flash Attention 2

Safety Evaluation

Ethical Considerations:

Model may sometimes make errors, produce misleading contents, or struggle to manage tasks that are not related to coding. It has undergone very limited testing. Additional safety testing should be performed before any real-world deployments.

Input Output

Input Format:

### Instruction {instruction} ### Response

Accepted Modalities:

text

Output Format:

text

LLM Name	Starcoder2 15B Instruct
Repository 🤗	https://huggingface.co/TechxGenus/starcoder2-15b-instruct
Model Size	15b
Required VRAM	31.9 GB
Updated	2026-07-25
Maintainer	TechxGenus
Model Type	starcoder2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 2.0 GB: 7-of-7
Model Architecture	Starcoder2ForCausalLM
License	bigcode-openrail-m
Context Length	16384
Model Max Length	16384
Transformers Version	4.39.0.dev0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the Starcoder2 15B Instruct 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

Quantized Models of the Starcoder2 15B Instruct

Model	Likes	Downloads	VRAM
Starcoder2 15B Instruct GPTQ	2	2	9 GB

Best Alternatives to Starcoder2 15B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Starcoder2 15B Instruct V0.1	16K / 31.9 GB	597	105
Starcoder2 15B Instruct V0.1	16K / 53.4 GB	25	0
Dolphincoder Starcoder2 15B	16K / 31.9 GB	84	69
Dolphincoder Starcoder2 15B	16K / 31.9 GB	17	68
...rCoder2 15B Instruct V0.1 GGUF	16K / 6.2 GB	412	0
...rCoder2 15B Instruct V0.1 GGUF	16K / 6.2 GB	261	0
Starcoder2 15B Instruct GPTQ	16K / 9.2 GB	2	2

Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/starcoder2-15b-instruct.