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BLOCKS

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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 were recently created by the Continue community

deepseek-r1

Models

llama-3.3-70b-instruct

Offers similar performance compared to the Llama 3.1 70B model

Models

Effective Go Rules

A ruleset generated from Effective Go (https://go.dev/doc/effective_go)

Rules

autodetect

Models

deepseek-r1 8b

DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks

Models

deepseek-r1 distill-qwen-1.5b-gguf

Models

deepseek-r1 qwen-7b

Models

mistral 7b

Models

qwen2.5-coder 1.5b

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

Models

qwen2.5-coder 14b

Models

qwen2.5-coder 32b

Models

qwen2.5-coder 3b

Models

qwen2.5-coder 7b

Models

OpenAI GPT-3.5 Turbo

Models

OpenAI GPT-4o Mini

OpenAI's fast, affordable small model for focused tasks

Models

OpenAI GPT-4o

OpenAI's versatile, high-intelligence flagship model

Models

Claude 3.7 Sonnet

Anthropic's most intelligent model with toggleable extended thinking

Models

Meta-Llama-3.1 405B-Instruct

Models

Meta-Llama-3.1 8B-Instruct

Models

Meta-Llama-3.2 1B-Instruct

Models

Meta-Llama-3.2 3B-Instruct

Models

Meta-Llama-3.3 70B-Instruct

Models

TypeScript Documentation

Reference to TypeScripts documentation

SvelteCLI Docs

Docs for the Svelte CLI

SvelteKit Docs

Docs for SvelteKit.

Svelte Docs

Docs for Svelte.

Gemini 2.0 Flash Lite

Google Gemini 2.0 Flash Lite

Models

Google Maps API Docs

SF map project rules

Rules

DeepSeek-R1-Distill-Llama 70B

Models

DeepSeek R1

DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks

Models

autodetect

Models

MCP LLMs

MCP Python SDK

MCP Typescript SDK

Mistral Embed

State-of-the-art semantic for extracting representation of text extracts

Models