CT
China Telecom
Language model · China ·Oct 2024

TeleChat2-35B

Language Open (Restricted)
35B
Parameters
9
Benchmarks

About TeleChat2-35B

TeleChat2-35B is an AI model developed by China Telecom, in the language category, released in 2024, made available as an open-weights model with 35B params.

On this page you'll find TeleChat2-35B's full specifications, including 9 benchmark results. Review provider pricing and benchmark scores below, or compare TeleChat2-35B head-to-head with other language models.

Links

Run TeleChat2-35B locally — what to buy

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Sized to what TeleChat2-35B 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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TeleChat2-35B benchmark scores
Benchmark Category Score Variant
HumanEval code 73% from-hf-readme
MBPP code 75% from-hf-readme
AlignBench v1.1 general 7.88 from-hf-readme
C-Eval general 85% from-hf-readme
IFEval general 79.63% from-hf-readme
MMLU general 82% from-hf-readme
CMMLU knowledge 90.18 from-hf-readme
GSM8K math 91% from-hf-readme
BIG-Bench Hard reasoning 88.6% from-hf-readme

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Frequently asked questions

What is TeleChat2-35B?

TeleChat2-35B is an AI model developed by China Telecom, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created TeleChat2-35B?

TeleChat2-35B was developed by China Telecom and released in 2024.

Is TeleChat2-35B open source or proprietary?

TeleChat2-35B 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 TeleChat2-35B cost?

Pricing for TeleChat2-35B depends on the provider. See the providers table on this page for the latest API rates.

How does TeleChat2-35B perform on benchmarks?

TeleChat2-35B is benchmarked across 9 evaluations on GenAIList, including HumanEval (73%). See the full benchmark table below and compare it with other models.

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