deepseek-ai/DeepSeek-LLM
DeepSeek LLM: Let there be answers observed · 2026-08-28
Health v2 · maintenance only
27/100
- Activity 0
- Release rhythm 35
- Longevity 72
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: 1008
- days_rel: n/a
- days_push: 941
- n_releases_24m: 0
Adoption not part of the score
7257 stars · 1293 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
DeepSeek LLM is a family of open-source large language models (7B and 67B, Base and Chat variants) trained from scratch on 2 trillion tokens of English and Chinese text. The repository provides model weights, quick-start inference code, and evaluation details for research use.
Use cases
- run a 67B open-source chat model locally
- fine-tune a bilingual English-Chinese LLM
- benchmark open LLMs on coding and math tasks
- research training recipes for large language models
- self-host an alternative to Llama2 70B
- evaluate LLM performance on the Hungarian national exam
When to choose
- you need strong open-weight models with good Chinese language support
- you want to study or reproduce LLM training at scale
- you need a self-hosted chat model for coding and math
When to avoid
- you need a maintained production framework rather than model weights
- you lack GPU resources for 7B-67B parameter models
- you need the newest DeepSeek models (this repo is superseded by later releases)
Facets
library · maturity maintenance
llm-inference llm-training machine-learning large-language-models artificial-intelligence python open-weights bilingual chinese-english huggingface model-weights natural-language-processing gpu linux
1 source
- readme: https://github.com/deepseek-ai/DeepSeek-LLM · fetched 2026-08-28 · a4c3880b1d56
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| deepseek-ai/DeepSeek-LLM | main | 27 |
For agents
markdown · JSON · MCP: product_card(name="deepseek-ai/DeepSeek-LLM")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem