AI-TAVS/Agents-A1-vision

AI-TAVS/ Agents-A1-vision

67 Downloads Updated 1 month ago

Agents-A1: Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent.

vision 4b 35b

ollama run AI-TAVS/Agents-A1-vision:4b

curl http://localhost:11434/api/chat \
  -d '{
    "model": "AI-TAVS/Agents-A1-vision:4b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='AI-TAVS/Agents-A1-vision:4b',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'AI-TAVS/Agents-A1-vision:4b',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

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Name

2 models

Size / Usage

Context

Input

Agents-A1-vision:4b

5.2GB · 256K context window · Text, Image · 1 month ago

Agents-A1-vision:4b

5.2GB

256K

Text, Image

Agents-A1-vision:35b

22GB · 256K context window · Text, Image · 1 month ago

Agents-A1-vision:35b

22GB

256K

Text, Image

Readme

Agents‑A1 is a 35B Mixture‑of‑Experts agentic model from InternScience, built to scale heterogeneous agentic abilities across multiple domains including Long‑horizon Search, Engineering, Scientific Research, Instruction Following, and Tool-calling. We investigate agent-horizon scaling from two perspectives: scaling long-horizon trajectories and scaling heterogeneous agent abilities.

Detail: https://huggingface.co/InternScience/Agents-A1-Q4_K_M-GGUF