What are the hardware requirements for Stablecode Completion Alpha 3B 4K?

Stablecode Completion Alpha 3B 4K requires approximately 6.1 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 Completion Alpha 3B 4K and how large is it?

Stablecode Completion Alpha 3B 4K is developed by stabilityai, 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 Completion Alpha 3B 4K?

Stablecode Completion Alpha 3B 4K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Stablecode Completion Alpha 3B 4K by stabilityai — VRAM 6.1GB, 4K context

Name: Stablecode Completion Alpha 3B 4K
Author: stabilityai

Stablecode Completion Alpha 3B 4K is an open-source language model by stabilityai. Features: 3b LLM, VRAM: 6.1GB, Context: 4K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.09.

Arxiv:1910.02054 Arxiv:2104.09864 Code Codegen Dataset:bigcode/starcoderdata Endpoints compatible Gpt neox Model-index Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/stabilityai/stablecode-completion-alpha-3b-4k

Stablecode Completion Alpha 3B 4K Parameters and Internals

Model Type

Auto-regressive language model, Transformer decoder architecture

Use Cases

Primary Use Cases:

Single/multiline code completion

Limitations:

Not intended for unlawful content creation, Avoid activities with high risk of harm

Supported Languages

Code (Proficient)

Training Details

Data Sources:

bigcode/starcoder-data

Data Volume:

300 billion tokens

Context Length:

4096

Model Architecture:

Parallel Attention and MLP residuals with Rotary Position Embeddings, LayerNorm bias terms only.

LLM Name	Stablecode Completion Alpha 3B 4K
Repository 🤗	https://huggingface.co/stabilityai/stablecode-completion-alpha-3b-4k
Model Size	3b
Required VRAM	6.1 GB
Updated	2026-07-31
Maintainer	stabilityai
Model Type	gpt_neox
Model Files	6.1 GB 6.1 GB
Supported Languages	code
Generates Code	Yes
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.30.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	49152
Torch Data Type	float16

Rank the Stablecode Completion Alpha 3B 4K 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

Quantized Models of the Stablecode Completion Alpha 3B 4K

Model	Likes	Downloads	VRAM
...de Completion Alpha 3B 4K GGML	23	6	1 GB
...de Completion Alpha 3B 4K GPTQ	9	6	1 GB

Best Alternatives to Stablecode Completion Alpha 3B 4K

Best Alternatives	Context / RAM	Downloads	Likes
Stablecode Completion Alpha 3B	16K / 14.1 GB	180	119
Stablecode Instruct Alpha 3B	4K / 6.1 GB	2	304
StableCode 3B	4K / 6.1 GB	8	1
...tion Alpha 3B 4K Openvino Int8	4K / 2.8 GB	8	1
...blecode Instruct Alpha 3B GPTQ	4K / 1.8 GB	10	17
...de Completion Alpha 3B 4K GPTQ	4K / 1.8 GB	6	9
...blecode Instruct Alpha 3B GPTQ	4K / 1.8 GB	5	1