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hopper-inc/hopper

v1.3.0MIT

Realtime inference API for open-source models in your agent: two LLMs, text-to-speech and speech-to-text. Try the latest open-source models on your own prompts, add a key to your code, speak text and transcribe audio.

hopper-try

Tests DeepSeek V4.1 Flash and Gemma 4 31B on the user's own prompts: finds real prompts in the project or chat, runs both side by side with time to first token, tokens per second and cost, and gives a verdict per example. Changes no code. Use when asked "there's a new DeepSeek model, how is it? test it for my use case", "DeepSeek V4.1 Flash any good? try it on my prompts", "is Gemma 4 worth trying for this", "give the new DeepSeek a vibe check", "try this prompt on a few open models", "run our real prompts through DeepSeek", "gemma 4 vs deepseek for this, which one?", "could an open model replace GPT-4.1 here", "is DeepSeek a drop-in replacement for OpenAI here", "worth switching to an open model?", "does DeepSeek handle our function calls reliably", "check if Gemma returns valid JSON for our schema" or "try Hopper". Not for testing their code, comparing files, writing prompts, running models locally (Ollama), fine-tuning or published benchmark scores; to switch the project's model, use hopper-integrate.

Read SKILL.md at the source

Pinned to revision 44d32e05c702, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

  • Bash(python3 ${CLAUDE_SKILL_DIR}/scripts/hopper_try.py *)

Files

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