بازدان بۆ ناوەڕۆکی سەرەکی

Shanghai AI Laboratory · دەق

مۆدێلەکانی InternLM: وەشانەکان، تایبەتمەندییەکان، پێداویستییەکانی GPU و میوانداری

InternLM provides an established open-weight language-model line with official خاڵەکانی وەشان suitable for reference and private inference.

Technical deployment reference illustration for InternLM
Reference deployment flow; exact architecture facts are listed separately.

پوختە و مێژوو

InternLM is an official Shanghai AI Laboratory model family represented here through independently verified release, خاڵی وەشان, license, ژینگەی جێبەجێکردن and hardware evidence. InternLM provides an established open-weight language-model line with official خاڵەکانی وەشان suitable for reference and private inference. Current public releases are grouped by the General tracks so sibling sizes and specialist branches are not presented as false chronological generations.

FusionPointAI currently tracks 1 certified public InternLM releases. The catalogue preserves release dates and evaluates Current, Recent, Previous and Legacy status within each model track rather than by database insertion order.

Official open خاڵەکانی وەشان
Long-context tooling
Mature deployment path

تەلارسازی و مەودای مۆدێل

The verified public range spans 8B to 8B total parameters and context windows up to 131,072 تۆکنەکان. Each release states whether it is dense or mixture-of-experts and records active parameters separately when the official source publishes them.

وەشانە بڵاوکراوەکان1
ڕێڕەوەکانی مۆدێل1
نەوەی ئێستاInternLM3 8B
دوا جار پشتڕاستکراوەتەوە2026-08-26T00:00:00.000000Z

نەوەکان، ڕێڕەوەکان و جۆرەکان

گشتی

ژینگەی جێبەجێکردن

Choose a specific InternLM release and certified خاڵی وەشان before sizing hardware. FusionPointAI rejects unknown ژینگەی جێبەجێکردن configurations, calculates resident memory from total model weights, then distinguishes globally compatible GPUs from currently rentable inventory.

Validate the exact خاڵی وەشان license, ژینگەی جێبەجێکردن version, precision kernel, context length, concurrency and multi-GPU topology. Active MoE parameters affect compute, but resident model memory continues to use total stored weights.

بەکارهێنانە باوەکان

Private assistants
Model evaluation
Research deployment

پوختەی مۆڵەت

Licenses are certified per release, not inferred from the provider. Review the release page before commercial deployment because terms can differ between generations and variants.

Commercial-use status is a source-backed catalogue classification, not legal advice. Follow the linked official license and attribution requirements.

ڕێڕەوی کاتیی وەشان

internlm/internlm/internlm3-8b

وردەکاریی سەرچاوە

سەرچاوەی فەرمی

وەشانی سەرچاوە: 58930c5e0f2b0b2653149106bcb51a314d82a23711fe4dabdfd5d90f3cd33cb6

پرسیارە باوەکان

Which InternLM release is current?

Current releases are The manufacturer has not published this information., evaluated within their respective tracks.

Can InternLM be self-hosted?

Only releases with a verified official خاڵی وەشان and supported ژینگەی جێبەجێکردن configuration are presented as deployable.

Which GPU should run InternLM?

GPU selection depends on the exact variant, خاڵی وەشان precision, context length and concurrency; use the release hardware recommendations rather than the family name alone.

سەرچاوە فەرمییەکان

دوا جار پشتڕاستکراوەتەوە: 2026-08-26