StableLM‑Tuned‑Alpha‑3B

Lightweight Open Instruction AI

What is StableLM‑Tuned‑Alpha‑3B?

StableLM‑Tuned‑Alpha‑3B is a 3‑billion-parameter decoder-only LLM developed by Stability AI, built atop the NeoX transformer architecture. It’s fine-tuned on high-quality instruction-following datasets to provide strong chat, reasoning, summarization, and code functionality, all under a research‑only, non-commercial CC BY‑NC‑SA 4.0 license (Hugging Face, Reddit, PromptLayer).

Key Features of StableLM‑Tuned‑Alpha‑3B

Compact 3 B Transformer

NeoX-based model with 16 layers, 32 attention heads, hidden size 4096, context window up to 4096 tokens (Hugging Face, Hugging Face).

Diverse Multi‑Dataset Fine-Tuning

Trained on datasets such as Alpaca (52 K self‑instruct), GPT4All prompt generation (400 K), Anthropic HH preferences, Databricks Dolly rewards, and ShareGPT Vicuna dialogue corpus (Hugging Face).

Instruction & Chat Ready

Handles conversation, code completion, question answering, summarization, creative writing, and refuses harmful prompts using structured prompting format <|SYSTEM|>…<|USER|>…<|ASSISTANT|> (PromptLayer).

Research-Only Licensing

Licensed under CC BY‑NC‑SA 4.0, in line with Stanford Alpaca’s approachnon-commercial usage only (Hugging Face).

Efficient, Low-Resource Deployment

Supports rapid inference on single GPU or quantized CPU setups; suitable for edge or cloud deployments with optimized memory usage (Baseten).

Use Cases for StableLM‑Tuned‑Alpha‑3B

Ideal for assistant tools that need to follow prompts with helpful and safe behavior.

Supports basic code generation, logic-based Q&A, and explanatory tasks.

Great for generating blog drafts, summaries, and structured content.

Suitable for educational labs, prompt alignment studies, and transparent LLM behavior experiments.

Runs on moderate hardware (quantized on CPU or GPU) for private or embedded AI applications.

StableLM‑Tuned‑Alpha‑3B

vs

Other Lightweight Instruction LLMs

Feature	StableLM‑3B	FastChat‑T5‑3B	Dolly‑V2‑7B	GPT4All‑7B
Parameters	3 B	3 B	7 B	7 B
Base Architecture	NeoX Decoder	T5 Encoder‑Decoder	Pythia Decoder	LLaMA/Falcon Decoder
Instruction Data	Alpaca, GPT4All, HH, Dolly, ShareGPT	T5 prompts	Human‑curated dataset	Mixed open datasets
License	CC BY‑NC‑SA (Research‑only)	Apache 2.0	Commercial‑friendly	Variable (mostly local)
Deployment Size	Ultra‑lightweight	Very lightweight	Mid‑weight	Mid‑weight
Use Case	Safe chat & instruction agents	Edge chat tools	Business assistants	Secure offline chat