Model reference · open weights
open-3.5-0106-gemma is an open-weight language model from openchat. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Maker | openchat |
|---|---|
| Type | Language models |
| Task | Text gen |
| Parameters (lead) | 8.5B |
| Context | 8k tokens |
| Runs with | transformers |
| Released | 2024-03-09 |
| Popularity | 1k downloads / month |
| Licence | Commercial licence needed |
About
Please refer to openchat-3.5-0106 for details.
P.S.: 6T pre-training tokens + 0.003 init std dev + C-RLFT is the secret sauce?
P.P.S.: @Google team, we know your model is great, but please use an OSI-approved license like Mistral (or even Phi and Orca).
| Model | # Params | Average | MT-Bench | HumanEval | BBH MC | AGIEval | TruthfulQA | MMLU | GSM8K | BBH CoT |
|---|---|---|---|---|---|---|---|---|---|---|
| OpenChat-3.5-0106 Gemma | 7B | 64.4 | 7.83 | 67.7 | 52.7 | 50.2 | 55.4 | 65.7 | 81.5 | 63.7 |
| OpenChat-3.5-0106 Mistral | 7B | 64.5 | 7.8 | 71.3 | 51.5 | 49.1 | 61.0 | 65.8 | 77.4 | 62.2 |
| ChatGPT (March) | ???B | 61.5 | 7.94 | 48.1 | 47.6 | 47.1 | 57.7 | 67.3 | 74.9 | 70.1 |
| Gemma-7B | 7B | - | - | 32.3 | - | 41.7 | - | 64.3 | 46.4 | - |
| Gemma-7B-it * | 7B | 25.4 | - | 28.0 | 38.4 | 32.5 | 34.1 | 26.5 | 10.8 | 7.6 |
| OpenHermes 2.5 | 7B | 59.3 | 7.54 | 48.2 | 49.4 | 46.5 | 57.5 | 63.8 | 73.5 | 59.9 |
*: Gemma-7b-it failed to understand and follow most few-shot templates.
To use this model, we highly recommend installing the OpenChat package by following the installation guide in our repository and using the OpenChat OpenAI-compatible API server by running the serving command from the table below. The server is optimized for high-throughput deployment using vLLM and can run on a consumer GPU with 24GB RAM. To enable tensor parallelism, append --tensor-parallel-size N to the serving command.
Once started, the server listens at localhost:18888 for requests and is compatible with the OpenAI ChatCompletion API specifications. Please refer to the example request below for reference. Additionally, you can use the OpenChat Web UI for a user-friendly experience.
If you want to deploy the server as an online service, you can use --api-keys sk-KEY1 sk-KEY2 ... to specify allowed API keys and --disable-log-requests --disable-log-stats --log-file openchat.log for logging only to a file. For security purposes, we recommend using an HTTPS gateway in front of the server.
| Model | Size | Context | Weights | Serving |
|---|---|---|---|---|
| OpenChat-3.5-0106-Gemma | 7B | 8192 | Huggingface | python -m ochat.serving.openai_api_server --model openchat/openchat-3.5-0106-gemma --engine-use-ray --worker-use-ray |
curl http://localhost:18888/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "openchat_3.5_gemma_new",
"messages": [{"role": "user", "content": "You are a large language model named OpenChat. Write a poem to describe yourself"}]
}'
⚠️ Notice: This is different from the Mistral version. End-of-turn token is now (Mistral version is). Remember to set `` as end of generation token.
GPT4 Correct User: HelloGPT4 Correct Assistant: HiGPT4 Correct User: How are you today?GPT4 Correct Assistant:
With system message (NOT recommended, may degrade performance)
You are a helpful assistant.GPT4 Correct User: HelloGPT4 Correct Assistant: HiGPT4 Correct User: How are you today?GPT4 Correct Assistant:
OpenChat may sometimes generate information that does not exist or is not accurate, also known as "hallucination". Users should be aware of this possibility and verify any critical information obtained from the model.
OpenChat may sometimes generate harmful, hate speech, biased responses, or answer unsafe questions. It's crucial to apply additional AI safety measures in use cases that require safe and moderated responses.
Our OpenChat 3.5 code and models are distributed under the Apache License 2.0.
@article{wang2023openchat,
title={OpenChat: Advancing Open-source Language Models with Mixed-Quality Data},
author={Wang, Guan and Cheng, Sijie and Zhan, Xianyuan and Li, Xiangang and Song, Sen and Liu, Yang},
journal={arXiv preprint arXiv:2309.11235},
year={2023}
}
Project Lead:
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys open-3-5-0106-gemma for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (open-3-5-0106-gemma below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"open-3-5-0106-gemma","messages":[{"role":"user","content":"Hello"}]}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.