ASSISTANTS

BLOCKS

BUNDLES

Trending blocks

Blocks are reusable components that define specific behaviors and capabilities for AI assistants, from custom instructions to advanced model configurations

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The following blocks are popular in the Continue community

llama-3.2-1b-instruct

Llama-3.2-1B-Instruct is Meta's compact multilingual model at 1B parameters. This instruction-tuned version balances efficiency with generative capabilities across multiple languages.

Models

Claude Sonnet 3.7 - OpenRouter

Anthropic's most intelligent model with toggleable extended thinking

Models

Meta Llama 3 70B Instruct Reference

Models

qwen2.5-coder 7b

The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing

Models

MythoMax L2 13B combines MythoLogic-L2's comprehension with Huginn's writing capabilities through innovative tensor merging. This 13B hybrid model balances robust understanding with creative expression.

Models

llama-3-70b-instruct

Llama-3-70B-Instruct is Meta's instruction-tuned model at 70B parameters, trained on 15T tokens. This decoder-only architecture shows competitive dialogue performance against leading closed-source models.

Models

Effective Go

I asked Claude to distill https://go.dev/doc/effective_go into a rules file.

Rules

Deepseek R1 - API

Models

Gemini 2.0 Flash

Gemini's newest multimodal model, with next generation features and improved capabilities

Models

Pybit examples

Linkedin Documentation

Claude 3.5 Sonnet

Models

OpenTelemetry Documentation

OpenTelemetry, also known as OTel, is a vendor-neutral open source Observability framework for instrumenting, generating, collecting, and exporting telemetry data such as traces, metrics, and logs. As an industry-standard, OpenTelemetry is supported by more than 40 observability vendors, integrated by many libraries, services, and apps, and adopted by numerous end users.

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