MODEL PROFILE

Phi-3-medium-128k-instruct-llamafile

mozilla-ai · Phi-3-medium-128k-instruct-llamafile

This is a large language model that was released by Microsoft on May 21st, 2024. It has an outstanding context size, which makes it good for summarizing and extracting information from large bodies of text. It's also been fine-tuned to follow your instructions. Mozilla has packaged the Phi-3 model into executable weights that we call llamafiles. This gives you the easiest fastest way to use the model on Linux, MacOS, Windows, FreeBSD, OpenBSD and NetBSD systems you control on both AMD64 and ARM64. Running the following on a desktop OS will launch a tab in your web browser with both a chatbot interface and a completion interface.

codelicense:apache-2.0
Context window131,072 Token
Input → Output待核验 → 待核验
Model weightsNot verified
Profile updated2026/11/2 19:16:12
OVERVIEW

Model overview

This is a large language model that was released by Microsoft on May 21st, 2024. It has an outstanding context size, which makes it good for summarizing and extracting information from large bodies of text. It's also been fine-tuned to follow your instructions. Mozilla has packaged the Phi-3 model into executable weights that we call llamafiles. This gives you the easiest fastest way to use the model on Linux, MacOS, Windows, FreeBSD, OpenBSD and NetBSD systems you control on both AMD64 and ARM64. Running the following on a desktop OS will launch a tab in your web browser with both a chatbot interface and a completion interface.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
No verified prices yet. Check the source channel.

Estimate monthly base token costs

—

Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

View full indexed rankings →

Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。