What are the hardware requirements for Starcoder2 15B Instruct GPTQ?

Starcoder2 15B Instruct GPTQ requires approximately 9.2 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 GPTQ and how large is it?

Starcoder2 15B Instruct GPTQ 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 GPTQ?

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

Starcoder2 15B Instruct GPTQ by TechxGenus — VRAM 9.2GB, 16K context

Name: Starcoder2 15B Instruct GPTQ
Author: TechxGenus

Starcoder2 15B Instruct GPTQ is an open-source language model by TechxGenus. Features: 15b LLM, VRAM: 9.2GB, Context: 16K, License: bigcode-openrail-m, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

4-bit Code Endpoints compatible Gptq Instruct Quantized Region:us Safetensors Starcoder2

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

Starcoder2 15B Instruct GPTQ Parameters and Internals

Model Type

text-generation

Use Cases

Limitations:

may make errors, produce misleading contents, struggle with non-coding tasks

Considerations:

Additional safety testing should be performed before any real-world deployments.

Additional Notes

Model is a GPTQ quantized version and uses DeepSpeed ZeRO 3 and Flash Attention 2.

Training Details

Data Volume:

0.7 billion code-related tokens

Methodology:

fine-tuning

LLM Name	Starcoder2 15B Instruct GPTQ
Repository 🤗	https://huggingface.co/TechxGenus/starcoder2-15b-instruct-GPTQ
Base Model(s)	Starcoder2 15B Instruct TechxGenus/starcoder2-15b-instruct
Model Size	15b
Required VRAM	9.2 GB
Updated	2026-08-03
Maintainer	TechxGenus
Model Type	starcoder2
Instruction-Based	Yes
Model Files	9.2 GB
GPTQ Quantization	Yes
Quantization Type	gptq
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	float16

Rank the Starcoder2 15B 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 Starcoder2 15B Instruct GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Starcoder2 15B Instruct V0.1	16K / 31.9 GB	597	105
...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 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
Starcoder2 15B Instruct	16K / 31.9 GB	6	7

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