deepseek coder 6.7b instruct

Name: deepseek coder 6.7b instruct
Author: DeepSeek

by DeepSeekDeepSeek Coder

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 202316K context≈ 12,288 words6.7b params

A focused, no-nonsense coding specialist that punches above its weight for a 6.7B parameter model. It handles code generation, debugging, and explanation across common languages with solid accuracy, though it can struggle with highly complex multi-step reasoning or niche programming tasks. Think of it as a reliable junior developer who writes clean, functional code quickly but occasionally needs guidance on trickier architectural decisions.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Moderate

Long Context

deepseek coder 6.7b instruct

by DeepSeekDeepSeek Coder

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 202316K context≈ 12,288 words6.7b params

A focused, no-nonsense coding specialist that punches above its weight for a 6.7B parameter model. It handles code generation, debugging, and explanation across common languages with solid accuracy, though it can struggle with highly complex multi-step reasoning or niche programming tasks. Think of it as a reliable junior developer who writes clean, functional code quickly but occasionally needs guidance on trickier architectural decisions.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Moderate

Long Context

Glossary

Code GenerationThe ability of a model to write, complete, or suggest programming code based on prompts or partial code input.GuidanceA technique to steer AI generation toward desired outputs by providing additional control signals during inference.Multi-Step ReasoningThe ability to break down complex problems into smaller steps and solve them sequentially, rather than jumping directly to an answer.Parameter ModelA neural network described by the number of learnable weights it contains; more parameters generally mean greater capacity to learn complex patterns, but also require more computational resources.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.

Capabilities

Capabilities

Use Case Fit

Glossary