AWSBee

Model catalog

Open-weight models, ready to deploy.

Each model is sized from its published architecture. The recommended instance is the cheapest NVIDIA GPU instance that holds the model at 16K context with 8 concurrent requests in BF16.

Qwen

Qwen2.5 7B Instruct

Efficient multilingual model with a very small KV cache.

Parameters
7.62B
Max context
32K
Recommended
g6e.xlarge

Qwen

Qwen2.5 Coder 7B Instruct

Code completion, review and generation.

Parameters
7.62B
Max context
32K
Recommended
g6e.xlarge

Qwen

Qwen2.5 14B Instruct

Mid-size model; a good fit for a 48 GB GPU.

Parameters
14.7B
Max context
32K
Recommended
g6.12xlarge

Qwen

Qwen2.5 32B Instruct

High quality at a fraction of 70B serving cost.

Parameters
32.8B
Max context
32K
Recommended
g6e.12xlarge

Mistral AI

Mistral 7B Instruct v0.3

gated

Fast, permissively licensed 7B assistant.

Parameters
7.25B
Max context
32K
Recommended
g6e.xlarge

Mistral AI

Mixtral 8x7B Instruct

gated

Mixture-of-experts: 47B weights, ~13B active per token.

Parameters
46.7B (12.9B act.)
Max context
32K
Recommended
g6e.12xlarge

Google

Gemma 2 9B Instruct

gated

Compact model with strong writing quality.

Parameters
9.24B
Max context
8K
Recommended
g4dn.12xlarge

Microsoft

Phi-3.5 mini Instruct

Small model that runs well on a 16 GB T4.

Parameters
3.82B
Max context
128K
Recommended
g6.12xlarge

DeepSeek

DeepSeek R1 Distill Qwen 7B

Chain-of-thought reasoning distilled into a 7B model.

Parameters
7.62B
Max context
128K
Recommended
g6e.xlarge

Gated models require you to accept the publisher's license on Hugging Face and add your own access token. AWSBee does not redistribute model weights; your instance downloads them directly from the publisher's repository.