Public KG record
deepseek-coder-33b-instruct
Recorded overview
Deepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code corpus by employing a window size of 16K and a extra fill-in-the-blank task, to support project-level code completion and infilling. For coding capabilities, Deepseek Coder achieves state-of-the-art perform
An evidence-backed entity from the project knowledge graph; detailed tool metadata is still being added.
Recorded details
- Capabilities: text generation
- Integrations: transformers integration
- Integrations: safetensors integration
- Integrations: text-generation-inference integration
- Supported types: text input/output
- Requirements: 33b parameters
Evidence coverage
The KG currently records 9 known information dimensions and has 9 undocumented dimensions, linked to 1 public source articles. These counts describe record coverage, not model performance or verified fit.
Related public records
- DeepSeek — develops
- deepseek-coder-instruct — part of