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Agents-A1 is a 35B Mixture-of-Experts agentic model from InternScience with 3B active parameters and a 262K context window. Open-sourced in Hugging Face Transformers format with native tool-use, function calling, and agentic reasoning across multiple domains.
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Compatible with Hugging Face Transformers, vLLM, and SGLang inference frameworks
These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, etc.
2026-06-26 (35B-A3B); 2026-07-14 (4B variant)
2026.6.26: 🔥🔥 We have open-sourced the Agents-A1 35B-A3B model
262144 tokens (262K)
--context-length 262144
35B total / A3B active
we have open-sourced the Agents-A1 35B-A3B model
Multimodal (text + vision encoder); supports a text-only mode that skips the vision encode
Text-Only (skips vision encoder to free KV cache memory)
Open-source (model weights and configuration files distributed in Hugging Face Transformer
This repository contains model weights and configuration files for Agents-A1 in the Hugging Face Transformers format.
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InternScience/Agents-A1 · Hugging Face
Model: Agents-A1 35B-A3B · Developer: InternScience · Architecture: Mixture-of-Experts (MoE)
Agents-A1 35B-A3B
InternScience
Mixture-of-Experts (MoE)
35B total / A3B active
Open-source (model weights and configuration files distributed in Hugging Face Transformers format)
2026-06-26 (35B-A3B); 2026-07-14 (4B variant)
262144 tokens (262K)
Multimodal (text + vision encoder); supports a text-only mode that skips the vision encoder
Natively supports function calling and tool integration with APIs, code interpreters, search engines, and external tools
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
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Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
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Agentic reasoning: decomposes complex tasks into executable sub-steps, plans ahead, and adapts strategy based on intermediate results
Quantized model variants released at multiple scales, including MLX versions from the mlx-community for Apple Silicon
Compatible with Hugging Face Transformers, vLLM, and SGLang inference frameworks
Model name: Agents-A1 35B-A3B · Architecture: Mixture-of-Experts (MoE) · Parameter count: 35B total, A3B active
Agents-A1
35B total parameters (A3B active)
2026-06-26 (35B-A3B open-sourced)
Hugging Face Transformers, vLLM, SGLang
Open-weights in Hugging Face Transformers format
Yes — open-sourced model weights, evaluation code, and technical report
Natively supports function calling and tool integration
Agentic reasoning — decomposes complex tasks, plans ahead, adapts strategy
Long-horizon Search, Engineering, Scientific Research, Instruction Following, Tool-calling
Model is Agents-A1, a 35B Mixture-of-Experts agentic model from InternScience · Architecture is Mixture-of-Experts (MoE) · Parameter count is 35B total with 3B active (35B-A3B), plus a 4B variant
Agents-A1
35B total / 3B active (35B-A3B); a 4B variant is also released
2026-06-26 for the 35B-A3B model; 2026-07-14 for the 4B model
Open weights and configuration files released in Hugging Face Transformers format; compatible with vLLM and SGLang
Natively supports function calling and tool integration with APIs, code interpreters, and search engines
Long-horizon Search, Engineering, Scientific Research, Instruction Following, and Tool-calling
Quantized model variants released via the Agents-A1 collection, with additional MLX-community versions for Mac
Can be served via SGLang or vLLM on 1 GPU at 262K context, exposed as an OpenAI-compatible endpoint at http://localhost:8000/v1
Model is Agents-A1 (35B-A3B) from InternScience · 35B Mixture-of-Experts architecture · 262,144 token context length in serving
Agents-A1 (35B-A3B) from InternScience, a 35B Mixture-of-Experts agentic model
35B parameters (35B-A3B MoE)
2026-06-26 (35B-A3B initial open-source release)
262,144 tokens (262K) supported in serving configurations
Native function calling / tool use (APIs, code interpreters, search engines, external tools)