Hugging Face's logo

Zoyd
/
openchat_openchat-3.6-8b-20240522-3_0bpw_exl2

Text Generation
Transformers
Safetensors
llama
openchat
llama3
C-RLFT
conversational
text-generation-inference
Inference Endpoints
3-bit
exl2
Model card Files Community
openchat_openchat-3.6-8b-20240522-3_0bpw_exl2
File size: 10,979 Bytes 
822350d
 
 
 
 
 
 
 
 
 
02a01dd
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
822350d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
 
---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B
tags:
- openchat
- llama3
- C-RLFT
library_name: transformers
pipeline_tag: text-generation
---
**Exllamav2** quant (**exl2** / **3.0 bpw**) made with ExLlamaV2 v0.0.21

Other EXL2 quants:
| **Quant** | **Model Size** | **lm_head** |
| ----- | ---------- | ------- |
|<center>**[2.2](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-2_2bpw_exl2)**</center> | <center>3250 MB</center> | <center>6</center> |
|<center>**[2.5](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-2_5bpw_exl2)**</center> | <center>3478 MB</center> | <center>6</center> |
|<center>**[3.0](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-3_0bpw_exl2)**</center> | <center>3895 MB</center> | <center>6</center> |
|<center>**[3.5](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-3_5bpw_exl2)**</center> | <center>4311 MB</center> | <center>6</center> |
|<center>**[3.75](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-3_75bpw_exl2)**</center> | <center>4519 MB</center> | <center>6</center> |
|<center>**[4.0](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-4_0bpw_exl2)**</center> | <center>4726 MB</center> | <center>6</center> |
|<center>**[4.25](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-4_25bpw_exl2)**</center> | <center>4932 MB</center> | <center>6</center> |
|<center>**[5.0](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-5_0bpw_exl2)**</center> | <center>5552 MB</center> | <center>6</center> |
|<center>**[6.0](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-6_0bpw_exl2)**</center> | <center>6497 MB</center> | <center>8</center> |
|<center>**[6.5](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-6_5bpw_exl2)**</center> | <center>6913 MB</center> | <center>8</center> |
|<center>**[8.0](https://huggingface.co/Zoyd/openchat_openchat-3.6-8b-20240522-8_0bpw_exl2)**</center> | <center>8144 MB</center> | <center>8</center> |


<div align="center">
  <img src="https://raw.githubusercontent.com/imoneoi/openchat/master/assets/logo_new.png" style="width: 65%">
  <h1>Advancing Open-source Language Models with Mixed-Quality Data</h1>
</div>

<p align="center" style="margin-top: 0px;">
  <a href="https://openchat.team">
    <img src="https://github.com/alpayariyak/openchat/blob/master/assets/logo_nobg.png?raw=true" alt="OpenChat Logo" style="width:20px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 10px; margin-top: 0px; margin-bottom: 0px;"/>
    <span class="link-text" style=" margin-right: 5px;">Online Demo</span>
  </a> |
  <a href="https://github.com/imoneoi/openchat">
    <img src="https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png" alt="GitHub Logo" style="width:20px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 5px; margin-top: 0px; margin-bottom: 0px;"/>
    <span class="link-text" style=" margin-right: 5px;">GitHub</span>
  </a> |
  <a href="https://arxiv.org/pdf/2309.11235.pdf">
    <img src="https://github.com/alpayariyak/openchat/blob/master/assets/arxiv-logomark-small-square-border.png?raw=true" alt="ArXiv Logo" style="width:20px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 5px; margin-top: 0px; margin-bottom: 0px;"/>
    <span class="link-text" style="margin-right: 5px;">Paper</span>
  </a> |
  <a href="https://discord.gg/pQjnXvNKHY">
    <img src="https://cloud.githubusercontent.com/assets/6291467/26705903/96c2d66e-477c-11e7-9f4e-f3c0efe96c9a.png" alt="Discord Logo" style="width:20px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 5px; margin-top: 0px; margin-bottom: 0px;"/>
    <span class="link-text">Discord</span>
  </a>
</p>

<p align="center" style="margin-top: 0px;">
    <span class="link-text" style=" margin-right: 0px; font-size: 0.8em">Sponsored by RunPod</span>
   <img src="https://styles.redditmedia.com/t5_6075m3/styles/profileIcon_71syco7c5lt81.png?width=256&height=256&frame=1&auto=webp&crop=256:256,smart&s=24bd3c71dc11edc5d4f88d0cbc1da72ed7ae1969" alt="RunPod Logo" style="width:30px; vertical-align: middle; display: inline-block; margin-right: 5px; margin-left: 5px; margin-top: 0px; margin-bottom: 0px;"/>
</p>

<div style="background-color: white; padding: 0.7em; border-radius: 0.5em; color: black; display: flex; flex-direction: column; justify-content: center; text-align: center">
  <a href="https://huggingface.co/openchat/openchat-3.5-0106" style="text-decoration: none; color: black;">
    <span style="font-size: 1.7em; font-family: 'Helvetica'; letter-spacing: 0.1em; font-weight: bold; color: black;">Llama 3 Version: OPENCHAT</span><span style="font-size: 1.8em; font-family: 'Helvetica'; color: #3c72db; ">3.6</span>
        <span style="font-size: 1.0em;  font-family: 'Helvetica'; color:  white; background-color: #90e0ef; vertical-align: top; border-radius: 6em; padding: 0.066em 0.4em; letter-spacing: 0.1em; font-weight: bold;">20240522</span>
    <span style="font-size: 0.85em; font-family: 'Helvetica'; color: black;">
      <br> 🏆 The Overall Best Performing Open-source 8B Model 🏆
      <br> 🚀 Outperforms Llama-3-8B-Instruct and open-source finetunes/merges 🚀
    </span>
  </a>
</div>

<div style="display: flex; justify-content: center; align-items: center; width: 110%; margin-left: -5%;">
  <img src="https://raw.githubusercontent.com/imoneoi/openchat/master/assets/benchmarks-openchat-3.6-20240522.svg" style="width: 100%; border-radius: 1em">
</div>

<div style="display: flex; justify-content: center; align-items: center">
  <p>* Llama-3-Instruct often fails to follow the few-shot templates.</p>
</div>

<div align="center">
<h2> Usage </h2>
</div>

To use this model, we highly recommend installing the OpenChat package by following the [installation guide](https://github.com/imoneoi/openchat#installation) 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](https://github.com/vllm-project/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](https://platform.openai.com/docs/api-reference/chat). Please refer to the example request below for reference. Additionally, you can use the [OpenChat Web UI](https://github.com/imoneoi/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](https://fastapi.tiangolo.com/es/deployment/concepts/#security-https) in front of the server.

| Model                 | Size | Context | Weights                                                                 | Serving                                                                               |
|-----------------------|------|---------|-------------------------------------------------------------------------|---------------------------------------------------------------------------------------|
| OpenChat-3.6-20240522 | 8B   | 8192    | [Huggingface](https://huggingface.co/openchat/openchat-3.6-8b-20240522) | `python -m ochat.serving.openai_api_server --model openchat/openchat-3.6-8b-20240522` |

<details>
  <summary>Example request (click to expand)</summary>

```bash
curl http://localhost:18888/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openchat_3.6",
    "messages": [{"role": "user", "content": "You are a large language model named OpenChat. Write a poem to describe yourself"}]
  }'
```

</details>

### Conversation templates

💡 **Default Mode**: Best for coding, chat and general tasks

```
GPT4 Correct User: Hello<|end_of_turn|>GPT4 Correct Assistant: Hi<|end_of_turn|>GPT4 Correct User: How are you today?<|end_of_turn|>GPT4 Correct Assistant:
```

⚠️ **Notice:** Remember to set `<|end_of_turn|>` as end of generation token.

The default template is also available as the integrated `tokenizer.chat_template`, which can be used instead of manually specifying the template:

```python
messages = [
    {"role": "user", "content": "Hello"},
    {"role": "assistant", "content": "Hi"},
    {"role": "user", "content": "How are you today?"}
]
tokens = tokenizer.apply_chat_template(messages, add_generation_prompt=True)
```

## Inference using Transformers

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_id = "openchat/openchat-3.6-8b-20240522"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")

messages = [
    {"role": "user", "content": "Explain how large language models work in detail."},
]
input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)

outputs = model.generate(input_ids,
    do_sample=True,
    temperature=0.5,
    max_new_tokens=1024
)
response = outputs[0][input_ids.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))
```

<div align="center">
<h2> Limitations </h2>
</div>

**Foundation Model Limitations**
Despite its advanced capabilities, OpenChat is still bound by the limitations inherent in its foundation models. These limitations may impact the model's performance in areas such as:

- Complex reasoning
- Mathematical and arithmetic tasks
- Programming and coding challenges

**Hallucination of Non-existent Information**
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.

**Safety**
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.

<div align="center">
<h2> 💌 Contact </h2>
</div>

We look forward to hearing from you and collaborating on this exciting project!

**Project Lead:**
- Guan Wang [imonenext at gmail dot com]
- [Alpay Ariyak](https://github.com/alpayariyak) [aariyak at wpi dot edu]

<div align="center">
<h2> Citation </h2>
</div>

```
@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}
}
```