deepseek-ai/DeepSeek-MoE
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models observed · 2026-08-28
Health v2 · maintenance only
26/100
- Activity 0
- Release rhythm 35
- Longevity 69
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 974
- days_rel: n/a
- days_push: 960
- n_releases_24m: 0
Adoption not part of the score
1969 stars · 310 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
DeepSeekMoE 16B is a Mixture-of-Experts language model with fine-grained expert segmentation and shared expert isolation, released with base and chat checkpoints. The repository provides model code, evaluation details, and quick-start instructions for running the model on a single 40GB GPU.
Use cases
- run a mixture-of-experts language model on a single GPU
- research MoE expert specialization architectures
- deploy a 16B parameter chat model without quantization
- compare MoE efficiency against dense 7B models
- fine-tune or evaluate an open MoE base model
When to choose
- you need an open MoE LLM checkpoint for research
- you want to study fine-grained expert segmentation and shared expert isolation
- you have a single 40GB GPU and want a capable chat model
When to avoid
- you need a maintained production LLM stack with active updates
- you lack a GPU with at least 40GB memory
- you need multilingual support beyond English and Chinese
Facets
library · maturity maintenance
machine-learning llm-inference deep-learning large-language-models machine-learning artificial-intelligence python mixture-of-experts model-weights research-model huggingface gpu linux
1 source
- readme: https://github.com/deepseek-ai/DeepSeek-MoE · fetched 2026-08-28 · 4bb06d866963
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| deepseek-ai/DeepSeek-MoE | main | 26 |
For agents
markdown · JSON · MCP: product_card(name="deepseek-ai/DeepSeek-MoE")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem