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Hunyuan Lite

Parameters

7B

Context Length

250K

Modality

Text

Architecture

Dense

License

Tencent Hunyuan Community License

Release Date

30 Oct 2024

Knowledge Cutoff

Aug 2024

API Pricing (per 1M)

Self-hosted only

System Requirements

VRAM requirements for different quantization methods and context sizes

1,024 tokens

16.34 GB VRAM

Consumer

1x RTX 4090

24GB VRAM

Datacenter

1x NVIDIA A100

80GB VRAM

Apple Silicon

1x Apple M3 Max

128GB VRAM

250,000 tokens

50.61 GB VRAM

Consumer

3x RTX 4090

24GB VRAM

Datacenter

1x NVIDIA A100

80GB VRAM

Apple Silicon

1x Apple M3 Max

128GB VRAM

Architecture Diagram

Input TokensToken EmbeddingPosition: AbsoluteHidden: 4.1k · Context: 250Kx 32 layersRMSNormPre-AttentionMulti-Head Attention32Q / 8KV headsHead dim: 128+RMSNormPre-FFNFeed-Forward NetworkSwiGLU+Final RMSNormOutput Logits

Evaluation Benchmarks

No evaluation benchmarks for Hunyuan Lite available.

Rankings

Overall Rank

-

Coding Rank

-

About Hunyuan Lite

Hunyuan Lite is an edge-optimized dense language model developed by Tencent for laptops, mobile devices, and in-vehicle systems. It supports dual-mode reasoning and long-document analysis across an expansive 256K token context window.

Technical Specifications

Attention

Attention Structure

Multi-Head Attention

Attention Heads

32

Key-Value Heads

8

Attention Head Dimension

-

Position Embedding

Absolute Position Embedding

RoPE Theta

-

Sliding Window Attention

-

Sliding Window Size

-

Sliding Window Ratio

-

Linear Attention

-

Linear Attention Ratio

-

Normalization

RMS Normalization

Activation Function

SwigLU

Dimensions

Hidden Dimension Size

4,096

Number of Layers

32

FFN Intermediate Size (Dense)

-

Multi-Token Prediction Heads

-

Tokenizer

Vocabulary Size

-

About Hunyuan

Tencent Hunyuan large language models with various capabilities.


Other Hunyuan Models