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  4. MPT-7B
open sourcellm

MPT-7B

True Apache 2.0 7B LLM with a 65K-context StoryWriter variant

Developed by MosaicML (Databricks)

Try Model
7BParams
YesAPI
stableStability
MPT-7B-ChatVersion
Apache 2.0License
PyTorchFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
Continue this story in vivid detail: 'The lighthouse keeper had not seen another soul in 47 days, until this morning, when a small wooden boat washed up on the rocks below.'

Model Output

model response
He descended the spiral stairs slowly, every footstep echoing in the salt-thickened air. The boat — no larger than a coffin — was painted the color of old blood, and inside it lay a single brass key wrapped in oilcloth. There was no name carved into the hull, no oars, no rope. Only the key, and a smell he had not breathed in since the war.

Examples

Real-World Applications

  • Creative writing (StoryWriter)
  • customer service chatbots
  • fine-tuning base for vertical AI
  • research baselines
  • Apache 2.0-mandated deployments.

Docs

Model Intelligence & Architecture

What is MPT-7B?

MPT-7B (MosaicML Pretrained Transformer) is a series of open-source 7-billion-parameter LLMs released by MosaicML (later acquired by Databricks) in May 2023. Trained from scratch on 1 trillion tokens of text and code, MPT-7B was one of the first truly Apache 2.0 commercial-grade LLMs, available before Llama 2.

The series includes the base model, MPT-7B-Instruct, MPT-7B-Chat, and the famous MPT-7B-StoryWriter-65k+ for long-form creative writing.

Why MPT-7B Is Still Relevant in 2026

While newer 7B models like Llama 3.1-8B and Mistral 7B have surpassed it, MPT-7B remains a solid Apache 2.0 baseline for fine-tuning when license freedom is critical.

Its FlashAttention-trained architecture and ALiBi positional encoding remain influential design choices in modern LLM development.

Key Features and Capabilities

MPT-7B uses FlashAttention, ALiBi (no positional embedding limits), and grouped-query-friendly architecture. The StoryWriter variant supports a then-record 65K-token context window for long fiction generation.

Who Should Use MPT-7B?

MPT-7B is ideal for researchers, fine-tuning enthusiasts, and developers needing an Apache 2.0 base. The StoryWriter variant remains popular among creative-writing AI tool builders.

Top Use Cases

Real-world applications include creative writing assistants (StoryWriter), customer service chatbots, fine-tuning bases for vertical AI, research baselines, and Apache 2.0-mandated deployments.

Where Can You Run It?

MPT-7B runs on Hugging Face Transformers, Ollama, Together AI, Replicate, and any standard LLM inference framework. Single 16 GB GPU is enough for full-precision 7B inference.

How to Use MPT-7B (Quick Start)

Load via Hugging Face: AutoModelForCausalLM.from_pretrained('mosaicml/mpt-7b-chat', trust_remote_code=True). For 65K context creative writing, use mosaicml/mpt-7b-storywriter.

When Should You Choose MPT-7B?

Choose MPT-7B when you need true Apache 2.0 freedom for a 7B base model or want to experiment with the unique StoryWriter long-context capability.

For modern production, use Llama 3.1-8B, Mistral 7B v0.3, or Phi-3.5-mini instead.

Pricing

MPT-7B is completely free under Apache 2.0. No restrictions for any use.

Pros and Cons

Pros: ✔ True Apache 2.0 ✔ 1T training tokens ✔ FlashAttention + ALiBi ✔ StoryWriter 65K context ✔ Multiple variants ✔ MosaicML quality

Cons: ✘ Surpassed by Llama 3.1 / Mistral 7B v0.3 ✘ Smaller fine-tune ecosystem ✘ Older architecture choices

Final Verdict

MPT-7B was a pioneer of Apache 2.0 commercial LLMs and the StoryWriter variant remains useful in 2026 for long-form fiction. Find newer alternatives at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ True Apache 2.0 license
  • ✓ 1T training tokens
  • ✓ FlashAttention + ALiBi architecture
  • ✓ StoryWriter 65K context
  • ✓ Four variants
  • ✓ Production-ready
Limitations
  • ✗ Surpassed by Llama 3.1 / Mistral 7B v0.3
  • ✗ Smaller fine-tune ecosystem
  • ✗ Older architecture

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code

Technical Details

Architecture
Decoder Transformer with FlashAttention + ALiBi
Stability
stable
Framework
PyTorch
License
Apache 2.0
Release Date
2023-05-05
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Completely free under Apache 2.0

Best For

Developers needing a true Apache 2.0 7B base or long-context creative writing AI

Alternative To

Llama 2-7B, Falcon 7B

Compare With

mpt-7b vs llama 2mpt-7b vs mistral 7bmpt-7b vs falcon 7bbest apache 2 7b modellong context open llm

Tags

#Long Context#Databricks#Mosaicml#Apache 2#Open Source AI#llm

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