internlm2-chat-20b-4bits

internlmPersonalstableBeliebtheit: 797
Embeddingtransformerspytorchinternlmfeature-extractiontext-generationconversationalcustom_codearxiv:2306.00978license:apache-2.04-bitawqregion:us
Kontext
4,096 Tokens
Max. Output
1,024 Tokens
Veröffentlicht
15.1.2024
Anbieter
1

Overview

internlm2-chat-20b-4bits is a large language model developed by internlm. It supports 4,096 tokens context and is available through 1 API provider(s).

Key Highlights

  • Embedding

Brand

internlm

Personal

View all models, pricing and details from internlm.

Specifications

Basic Information

Modellinternlm2-chat-20b-4bits
Markeinternlm
Version2
Model Typetransformers
Statusstable
Veröffentlicht15.1.2024
Beliebtheit797

Architecture

Parameter SizeUnknown / Not disclosed
Architecture Typeinternlm
Attention MechanismUnknown / Not disclosed
TokenizerUnknown / Not disclosed
Vocabulary SizeUnknown / Not disclosed

Context & I/O

Kontext4,096 tokens
Max. Output1,024 tokens
ModalitiesEmbedding
LanguagesUnknown / Not disclosed

Capabilities

VisionNo
AudioNo
ReasoningNo
Function CallNo
MCPNo
JSON ModeNo
EmbeddingYes

Training Data

Training DatasetUnknown / Not disclosed
Estimated Data SizeUnknown / Not disclosed
Knowledge CutoffUnknown / Not disclosed

Inference & Deployment

API AccessYes
VRAM EstimateUnknown / Not disclosed
Quantization SupportUnknown / Not disclosed
Hardware RequirementsUnknown / Not disclosed

Safety & Compliance

Safety EvaluationsUnknown / Not disclosed
Content PolicyUnknown / Not disclosed
Region RestrictionsUnknown / Not disclosed

License & Pricing

Licenseapache-2.0
Commercial UseUnknown / Not disclosed
Open SourceYes

Provider & Pricing

AnbieterInputOutputCacheBatchWebseite
internlm0,000 €/1M0,000 €/1M--Webseite besuchen

Preisänderungen

Keine Preisänderungen verfügbar.

Benchmarks

No benchmark data available.

Changelog

  • Page created / data imported
    23.9.2026
  • Last updated
    23.9.2026

FAQ

What is internlm2-chat-20b-4bits?

internlm2-chat-20b-4bits is a large language model developed by internlm.

Who developed internlm2-chat-20b-4bits?

internlm2-chat-20b-4bits was developed by internlm. You can learn more on the brand page or official website.

What is the context length of internlm2-chat-20b-4bits?

internlm2-chat-20b-4bits supports up to 4,096 tokens of context.

How much does internlm2-chat-20b-4bits API cost?

API pricing for internlm2-chat-20b-4bits starts at 0,000 €/1M per 1M input tokens and 0,000 €/1M per 1M output tokens. See the pricing table above for provider-specific rates.

References

More from internlm