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PokeeResearch 7B

An Apache-licensed deep-research agent built on Qwen2.5-7B.

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Research & DataOpen SourceWe checked the prices on github.com on 28 Sep 2026.

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Recaply review

PokeeResearch 7B review: open deep research that fits one GPU

PokeeResearch 7B is Pokee AI's free, Apache 2.0 deep research agent: a 7-billion-parameter model that searches the web, reads pages and checks its own answers, for developers who self-host.

$0
Apache 2.0 weights and code; you pay for your GPU and the search APIs
7B
Parameters, fine-tuned from Qwen2.5-7B-Instruct
32K
Token context, with up to 10 research turns per question by default
49.2
On GAIA in Pokee's own test, the top score of the open 7B agents it compared

What is PokeeResearch 7B?

PokeeResearch 7B is a research agent rather than a chat model. Pokee AI fine-tuned Qwen2.5-7B-Instruct with reinforcement learning from AI feedback, so it plans searches, reads pages through outside tools, checks its own answer and can merge several independent research threads before replying. It reads and writes text only and works within a 32K-token context.

It is still current: Pokee offers it as its open-source agent beside a hosted research API, but the code on GitHub has not changed since launch. Running it takes your own GPU plus Serper, Jina and Gemini keys, so it is a project for developers, not a ready app.

Is PokeeResearch 7B still maintained?

It is still available and still Pokee's open research agent, but it has had no public updates since launch.

Weights
Still on Pokee's Hugging Face page under Apache 2.0, with no sign-up gate.
Code
The GitHub repository has not changed since release, and pull requests from outside contributors remain open.
Later checkpoint
Pokee has posted a second 7B research checkpoint on Hugging Face, but with no model card or notes, so it is not a documented upgrade.
Hosted option
Pokee calls its closed, hosted research agent its flagship and sells it through its Deep Research API.

Who is PokeeResearch 7B best for?

PokeeResearch 7B is best for developers and researchers who want a small, open research agent they can run, study and fine-tune on their own hardware.

  • A research agent you can inspect

    Weights and code are Apache 2.0, so you can run it, read every research step it saves and change how it works.

  • Studying agent training

    The repository includes the evaluation scripts and benchmark set behind Pokee's original numbers, and the paper explains each training choice.

  • Fine-tuning for one domain

    At 7B parameters it is a cheap base to adapt for scientific or document research, a use Pokee's model card names.

  • Multi-step fact questions

    It does best on questions that need several searches, scoring 92.0 on HotpotQA and 97.8 on NQ in Pokee's test.

What's included with PokeeResearch 7B?

Web search and page reading, self-verification, merged research threads, recovery from broken tool calls, and command-line and web apps.

Web search and page reading
It calls Serper to search and Jina to read pages, over up to 10 turns per question by default.
Self-verification
It writes a check of its draft answer against what it found and can correct itself when the check fails.
Research Threads Synthesis
It can run several independent research threads on one question and merge them, which lifted its HLE, GAIA and BrowseComp scores in Pokee's original tests.
Recovery from broken tool calls
A malformed tool call does not end the run; the agent recovers and keeps researching.
Command-line and web apps
A CLI for single or interactive questions and a Gradio web app, serving the model locally or through vLLM.
Evaluation scripts
Scripts rerun Pokee's benchmark test and save each question's full research trail and the judge's decision.

How does PokeeResearch 7B work?

  1. Start the Docker image

    Pokee supplies a Docker image with the dependencies; clone the repository inside it and log in to Hugging Face.

  2. Add your API keys

    Put your Serper, Jina and Gemini keys in a .env file in the project folder.

  3. Start the tool server

    It handles search and page reading, with an optional cache that saves API credits; the web app starts it for you.

  4. Ask a question

    Use the command line for one question or an interactive session, or open the Gradio app in your browser.

How much does PokeeResearch 7B cost?

PokeeResearch 7B is free: the weights and code are Apache 2.0, and you pay only for your own GPU and the search, page-reading and Gemini APIs it calls.

Open weights$0Apache 2.0 licence, self-hosted
  • Weights and code free to use, change and ship commercially
  • Tested on one 80GB NVIDIA A100 GPU
  • Needs your own Serper, Jina and Gemini API keys

Pokee does not sell PokeeResearch 7B. The web searches, page reads and Gemini calls it makes are billed by those services at their own rates. Pokee's hosted Deep Research API runs a different, closed agent and shows no public price. Full pricing on github.com. We checked these prices on .

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PokeeResearch 7B pros and cons

It is free, open and the strongest open 7B research agent in Pokee's tests, but it leans on three outside services and its code has not moved since launch.

Pros

  • Free under Apache 2.0, with the weights, training details and evaluation code all public.
  • Posts the best average of the open 7B research agents in Pokee's ten-benchmark test, 71.07 against 66.8 for WebSailor.
  • Small enough for one GPU: Pokee ran it on a single 80GB A100, and the weights take about 13 GB.

Cons

  • Not self-contained: every run calls Serper, Jina and Google's Gemini, so your questions leave your machine and each service needs its own key and credits.
  • It finds answers rather than writing reports: Pokee's founder has said you need a separate summarisation model to turn its research into a report.
  • Hard questions stay out of reach: even in Pokee's own test it scores 17.6 on HLE and 6.2 on BrowseComp.
  • The GitHub code has not changed since launch, outside pull requests are still waiting, and Pokee has tested it only on an 80GB-class GPU.

Is PokeeResearch 7B open source?

Yes. PokeeResearch 7B's code is public under the Apache 2.0 licence, so you can run it on your own server.

On GitHub

1,074stars

Last commit
22 Oct 2025
Repository age
13 months
Licence
Apache 2.0
Self-hosted
Yes
Run it yourselfThe code and the steps to put it on your own server are in its repository on GitHub.View on GitHub

What are the best PokeeResearch 7B alternatives?

PokeeResearch 7B is an open source alternative to Gemini Deep Research Agent and Perplexity. Scira, Atria Dawn Preview, Khoj and Co-STORM do the same job and are open source too.

Questions about PokeeResearch 7B

What is PokeeResearch 7B?

PokeeResearch 7B is Pokee AI's free, Apache 2.0 deep research agent: a 7-billion-parameter model that searches the web, reads pages and checks its own answers, for developers who self-host.

Who is PokeeResearch 7B for?

PokeeResearch 7B is best for developers and researchers who want a small, open research agent they can run, study and fine-tune on their own hardware.

Is PokeeResearch 7B free?

Yes. PokeeResearch 7B has a free Open weights plan: weights and code free to use, change and ship commercially.

Is PokeeResearch 7B open source?

Yes. PokeeResearch 7B's code is public under the Apache 2.0 licence, so you can run it on your own server.

What are the best PokeeResearch 7B alternatives?

The closest alternatives on Recaply are Gemini Deep Research Agent, Perplexity, Scira, Atria Dawn Preview, Khoj and Co-STORM.

Where can I try PokeeResearch 7B?

On its official website, github.com.

Can PokeeResearch 7B run fully offline?

No. The model runs on your own GPU, but the agent calls Serper for web search, Jina to read pages and Gemini to summarise content, so it needs internet access and a key for each of those services.

What GPU do I need for PokeeResearch 7B?

Pokee tested it on a single 80GB NVIDIA A100. GPUs with less memory may work but are untested, and more GPUs make it faster. The weights take about 13 GB in bf16.

Is PokeeResearch 7B the same as Pokee's Deep Research API?

No. The API runs Pokee's closed, hosted research agent, a different model that Pokee says costs four times less per query than OpenAI Deep Research. PokeeResearch 7B is the open model you download and run yourself.

Can I use PokeeResearch 7B commercially?

Yes. Pokee released the weights and code under the Apache 2.0 licence, which allows commercial use and changes. The Serper, Jina and Gemini services the agent calls have their own terms and prices.

Our verdict

PokeeResearch 7B is a good free starting point for developers who want to run or study a research agent, not a replacement for hosted deep research.

It posts the best scores of the open 7B research agents in Pokee's own tests and costs nothing to license, but it still scores low on the hardest benchmarks and leans on three outside APIs.

Skip it for
Anyone who wants a finished research app, or needs every step to stay on their own machine.
Check first
Make sure you have an 80GB-class GPU and accounts with Serper, Jina and Gemini before you start.