FE
French Engineering School ECE
Language model · France ·Apr 2024

TW3-JRGL-v2

Language Open (Restricted)
72B
Parameters

About TW3-JRGL-v2

TW3-JRGL-v2 is an AI model developed by French Engineering School ECE, in the language category, released in 2024, made available as an open-weights model with 72B params.

On this page you'll find TW3-JRGL-v2's full specifications. Review provider pricing and benchmark scores below, or compare TW3-JRGL-v2 head-to-head with other language models.

Links

Run TW3-JRGL-v2 locally — what to buy

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Sized to what TW3-JRGL-v2 actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Frequently asked questions

What is TW3-JRGL-v2?

TW3-JRGL-v2 is an AI model developed by French Engineering School ECE, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created TW3-JRGL-v2?

TW3-JRGL-v2 was developed by French Engineering School ECE and released in 2024.

Is TW3-JRGL-v2 open source or proprietary?

TW3-JRGL-v2 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does TW3-JRGL-v2 cost?

Pricing for TW3-JRGL-v2 depends on the provider. See the providers table on this page for the latest API rates.

How does TW3-JRGL-v2 perform on benchmarks?

Benchmark scores for TW3-JRGL-v2 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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