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Is there an effort right now to add Gemini support to the evaluation harness?
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I would like to add Google Gemini Ultra (Gemini Advanced)?
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Add a `GPT Gemini` switch, ranging from Pro to Ultra (as there's GPT 3.5 and 4).
Can use the already available API for Gemini: https://ai.google.dev/
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I've tried to substitute 'gemini-pro' with other strings provided by the Gemini Vertex AI playground code, and JFYI they both works:
```
GeminiModel = "gemini-1.0-pro-001" # This works as 'gemini-…
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**Why**
To stay current with the latest leading model offerings. Both released today!
**Description**
- [ ] [Command R+ News Release](https://txt.cohere.com/command-r-plus-microsoft-azure/?_gl=1*…
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After reading the API, I believe I cannot do post-training model compression, as for example I would do with a model implemented in Keras, where I would have access to each and every layer of the mode…
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**例行检查**
[//]: # (方框内删除已有的空格，填 x 号)
+ [x] 我已确认目前没有类似 issue
+ [x] 我已确认我已升级到最新版本
+ [x] 我已完整查看过项目 README，已确定现有版本无法满足需求
+ [x] 我理解并愿意跟进此 issue，协助测试和提供反馈
+ [x] 我理解并认可上述内容，并理解项目维护者精力有限，**不遵循规则的 issue…
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{
"page": [
{
"number": "112180012",
"name": "ZTE S218",
"productInstance": {
"type": "Expandable",
"href": "http…
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does the gem support json mode as outlined here:
https://ai.google.dev/gemini-api/docs/api-overview#curl_4
jtoy updated
2 months ago
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