internlm2-chat-20b-4bits

internlmPersonalstablePopularity: 797
Embeddingtransformerspytorchinternlmfeature-extractiontext-generationconversationalcustom_codearxiv:2306.00978license:apache-2.04-bitawqregion:us
Context
4,096 tokens
Max Output
1,024 tokens
Released
1/15/2024
Providers
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

Modelinternlm2-chat-20b-4bits
Brandinternlm
Version2
Model Typetransformers
Statusstable
Released1/15/2024
Popularity797

Architecture

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

Context & I/O

Context4,096 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

ProviderInputOutputCacheBatchWebsite
internlm$0.000/1M$0.000/1M--Visit Website

Price Changes

No recorded price changes.

Benchmarks

No benchmark data available.

Changelog

  • Page created / data imported
    9/23/2026
  • Last updated
    9/23/2026

Frequently Asked Questions

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