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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Llms
  5. Kimi K2.5 — Open vs Stanford Alpaca

Kimi K2.5 — Open vs Stanford Alpaca

OverviewComparisonAlternatives

Overview

Stanford Alpaca
Stanford Alpaca
Stacks0
Followers0
Votes0
GitHub Stars30.2K
Forks4.0K
Kimi K2.5 — Open
Kimi K2.5 — Open
Stacks0
Followers1
Votes1

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CLI (Node.js)
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Detailed Comparison

Stanford Alpaca
Stanford Alpaca
Kimi K2.5 — Open
Kimi K2.5 — Open

It is a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. It behaves qualitatively similarly to OpenAI’s text-davinci-003, while being surprisingly small and easy/cheap to reproduce.

Kimi K2.5 is an open-weight native multimodal model from Moonshot AI, continued-trained on ~15T multimodal tokens for 256K context, visual coding, and agent swarms.

Instruction-following model; Fine-tuned from a 7B LLaMA model on 52K instruction-following data
agent swarm, ai chatbot, ai cli tool, chatbot, kimi k2.5, moonshot ai
Statistics
GitHub Stars
30.2K
GitHub Stars
-
GitHub Forks
4.0K
GitHub Forks
-
Stacks
0
Stacks
0
Followers
0
Followers
1
Votes
0
Votes
1
Integrations
LLaMA
LLaMA
Hugging Face
Hugging Face
No integrations available

What are some alternatives to Stanford Alpaca, Kimi K2.5 — Open?

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Grok-1

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Google Gemini

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LLaMA

LLaMA

It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

Whisper

Whisper

It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

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AI Video Create and Edit

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YouWare

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Grok 4

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qonqrete

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