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Where innovation meets progress

StableLM‑Tuned‑Alpha‑3B

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

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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

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Instruction-Following Chat Agents

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

Code & Reasoning Assistants

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

Summarization & Content Generation

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

Research, Teaching & Prompt Engineering

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

local-or-lightweight-deployments

  • 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

The Future

Open AI with Responsible Research in Mind

StableLM‑Tuned‑Alpha‑3B brings clarity, reproducibility, and safety into instruction AIdesigned for academic exploration, educational use, or internal tools that don’t breach commercial licensing.

Get Started with StableLM‑Tuned‑Alpha‑3B

If you’d like to build a safe, instruction-aware chatbot, prototype coding assistants, or explore prompt-following dynamics, StableLM-Tuned-Alpha-3B is a lightweight and transparent choice. Contact Zignuts to integrate, evaluate, or fine-tune this model within your secure or research AI stack.

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