What are the hardware requirements for Stabilityai Stablecode Instruct Alpha 3B GPTQ?

Stabilityai Stablecode Instruct Alpha 3B GPTQ requires approximately 1.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Stabilityai Stablecode Instruct Alpha 3B GPTQ and how large is it?

Stabilityai Stablecode Instruct Alpha 3B GPTQ is developed by s3nh, a model with 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 Stabilityai Stablecode Instruct Alpha 3B GPTQ?

Stabilityai Stablecode Instruct Alpha 3B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Stabilityai Stablecode Instruct Alpha 3B GPTQ by s3nh — VRAM 1.8GB, 4K context

Name: Stabilityai Stablecode Instruct Alpha 3B GPTQ
Author: s3nh

Stabilityai Stablecode Instruct Alpha 3B GPTQ is an open-source language model by s3nh. Features: 3b LLM, VRAM: 1.8GB, Context: 4K, License: openrail, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.08.

Arxiv:2104.09864 4bit Autotrain compatible Codegen En Endpoints compatible Gpt neox Gptq Instruct Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/s3nh/stabilityai-stablecode-instruct-alpha-3b-GPTQ

Stabilityai Stablecode Instruct Alpha 3B GPTQ Parameters and Internals

Model Type

auto-regressive language model

Use Cases

Primary Use Cases:

Code generation

Limitations:

Not intended for unlawful content, Avoid high-risk activities

Supported Languages

Language (Code)

Training Details

Data Sources:

Code instruction datasets

Methodology:

Instruction tunning

Context Length:

4096

Model Architecture:

Transformers with Parallel Attention and MLP residuals

LLM Name	Stabilityai Stablecode Instruct Alpha 3B GPTQ
Repository 🤗	https://huggingface.co/s3nh/stabilityai-stablecode-instruct-alpha-3b-GPTQ
Model Size	3b
Required VRAM	1.8 GB
Updated	2025-09-23
Maintainer	s3nh
Model Type	gpt_neox
Instruction-Based	Yes
Model Files	1.8 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
Generates Code	Yes
Model Architecture	GPTNeoXForCausalLM
License	openrail
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Vocabulary Size	49152
Torch Data Type	float16

Rank the Stabilityai Stablecode Instruct Alpha 3B 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 Stabilityai Stablecode Instruct Alpha 3B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...blecode Instruct Alpha 3B GPTQ	4K / 1.8 GB	10	17
Stablecode Instruct Alpha 3B	4K / 6.1 GB	2	304

Note: green Score (e.g. "73.2") means that the model is better than s3nh/stabilityai-stablecode-instruct-alpha-3b-GPTQ.