OpenJev name, jev tags
Browse files
README.md
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language:
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- en
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tags:
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- decision-model
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- browser-agent
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- system-one
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- n4ze3m/typed-decisions-synth
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---
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#
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**Jun Huang\*, Xin Ren\*** 路 University of Electronic Science and Technology of China 路 \*Equal contribution
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**A local decision model: typed questions in, calibrated probabilities out, in one forward pass.** `wev-1.7b` answers
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the `POST /v1/systemone` request shape (choice, yes/no and score questions over a free-form state), for general
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decisions and for browser-agent steps (*which operation? which element?*). It runs on your own GPU: no API key,
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```python
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import wev
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m = wev.load("alanhuangya/
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out = m.predict(
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state="Refund request: order #4411 arrived damaged, customer attached photos, first refund this year.",
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questions={
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```
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```bash
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wev serve --model alanhuangya/
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```
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## Results
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language:
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- en
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tags:
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- jev
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- jev-alternative
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- open-source-jev
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- decision-model
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- browser-agent
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- system-one
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- n4ze3m/typed-decisions-synth
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---
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# OpenJev-1.7B
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**Jun Huang\*, Xin Ren\*** 路 University of Electronic Science and Technology of China 路 \*Equal contribution
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**OpenJev** (project *wev*) is an open-source, local alternative to Jev's System One decision API: same request shape, your own GPU, no API key.
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**A local decision model: typed questions in, calibrated probabilities out, in one forward pass.** `wev-1.7b` answers
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the `POST /v1/systemone` request shape (choice, yes/no and score questions over a free-form state), for general
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decisions and for browser-agent steps (*which operation? which element?*). It runs on your own GPU: no API key,
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```python
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import wev
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m = wev.load("alanhuangya/OpenJev-1.7B")
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out = m.predict(
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state="Refund request: order #4411 arrived damaged, customer attached photos, first refund this year.",
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questions={
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```
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```bash
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wev serve --model alanhuangya/OpenJev-1.7B --port 8009 # drop-in POST /v1/systemone, e.g. for jev-ultrafast
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```
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## Results
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