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

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

Stablecode Instruct Alpha 3B GPTQ is developed by TheBloke, 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 Stablecode Instruct Alpha 3B GPTQ?

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.

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

Name: Stablecode Instruct Alpha 3B GPTQ
Author: TheBloke

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

Arxiv:2104.09864 4-bit Base model:quantized:stability... Base model:stabilityai/stablec... Codegen Gpt neox Gptq Instruct Quantized Region:us Safetensors

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

Stablecode Instruct Alpha 3B GPTQ Parameters and Internals

Model Type

decoder-only, auto-regressive

Use Cases

Primary Use Cases:

Code generation

Limitations:

Not intended for unlawful content or activities with high-risk of harm

Considerations:

Use with huggingface/huggingface-vscode for code completion and attribution.

Additional Notes

Quantized by TheBloke with various configurations for VRAM and accuracy balance.

Supported Languages

Code (High proficiency)

Training Details

Context Length:

4096

Model Architecture:

Parallel Attention and MLP residuals with a single input LayerNorm; Rotary Position Embeddings

Input Output

Input Format:

Alpaca format

Accepted Modalities:

text

LLM Name	Stablecode Instruct Alpha 3B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/stablecode-instruct-alpha-3b-GPTQ
Model Name	Stablecode Instruct Alpha 3B
Model Creator	StabilityAI
Base Model(s)	Stablecode Instruct Alpha 3B stabilityai/stablecode-instruct-alpha-3b
Model Size	3b
Required VRAM	1.8 GB
Updated	2026-08-03
Maintainer	TheBloke
Model Type	gpt_neox
Instruction-Based	Yes
Model Files	1.8 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Generates Code	Yes
Model Architecture	GPTNeoXForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.30.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the 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 Stablecode Instruct Alpha 3B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...blecode Instruct Alpha 3B GPTQ	4K / 1.8 GB	5	1
Stablecode Instruct Alpha 3B	4K / 6.1 GB	2	304

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