Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,134 @@
|
|
1 |
---
|
2 |
license: apache-2.0
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: apache-2.0
|
3 |
+
language:
|
4 |
+
- en
|
5 |
+
tags:
|
6 |
+
- llama
|
7 |
+
- openchat
|
8 |
---
|
9 |
+
|
10 |
+
Since this is an OpenChat model, here's the OpenChat card.
|
11 |
+
|
12 |
+
# OpenChat: Less is More for Open-source Models
|
13 |
+
|
14 |
+
OpenChat is a series of open-source language models fine-tuned on a diverse and high-quality dataset of multi-round conversations. With only ~6K GPT-4 conversations filtered from the ~90K ShareGPT conversations, OpenChat is designed to achieve high performance with limited data.
|
15 |
+
|
16 |
+
**Generic models:**
|
17 |
+
|
18 |
+
- OpenChat: based on LLaMA-13B (2048 context length)
|
19 |
+
- **🚀 105.7%** of ChatGPT score on Vicuna GPT-4 evaluation
|
20 |
+
- **🔥 80.9%** Win-rate on AlpacaEval
|
21 |
+
- **🤗 Only used 6K data for finetuning!!!**
|
22 |
+
- OpenChat-8192: based on LLaMA-13B (extended to 8192 context length)
|
23 |
+
- **106.6%** of ChatGPT score on Vicuna GPT-4 evaluation
|
24 |
+
- **79.5%** of ChatGPT score on Vicuna GPT-4 evaluation
|
25 |
+
|
26 |
+
**Code models:**
|
27 |
+
|
28 |
+
- OpenCoderPlus: based on StarCoderPlus (native 8192 context length)
|
29 |
+
- **102.5%** of ChatGPT score on Vicuna GPT-4 evaluation
|
30 |
+
- **78.7%** Win-rate on AlpacaEval
|
31 |
+
|
32 |
+
*Note:* Please load the pretrained models using *bfloat16*
|
33 |
+
|
34 |
+
## Code and Inference Server
|
35 |
+
|
36 |
+
We provide the full source code, including an inference server compatible with the "ChatCompletions" API, in the [OpenChat](https://github.com/imoneoi/openchat) GitHub repository.
|
37 |
+
|
38 |
+
## Web UI
|
39 |
+
|
40 |
+
OpenChat also includes a web UI for a better user experience. See the GitHub repository for instructions.
|
41 |
+
|
42 |
+
## Conversation Template
|
43 |
+
|
44 |
+
The conversation template **involves concatenating tokens**.
|
45 |
+
|
46 |
+
Besides base model vocabulary, an end-of-turn token `<|end_of_turn|>` is added, with id `eot_token_id`.
|
47 |
+
|
48 |
+
```python
|
49 |
+
# OpenChat
|
50 |
+
[bos_token_id] + tokenize("Human: ") + tokenize(user_question) + [eot_token_id] + tokenize("Assistant: ")
|
51 |
+
# OpenCoder
|
52 |
+
tokenize("User:") + tokenize(user_question) + [eot_token_id] + tokenize("Assistant:")
|
53 |
+
```
|
54 |
+
|
55 |
+
*Hint: In BPE, `tokenize(A) + tokenize(B)` does not always equals to `tokenize(A + B)`*
|
56 |
+
|
57 |
+
Following is the code for generating the conversation templates:
|
58 |
+
|
59 |
+
```python
|
60 |
+
@dataclass
|
61 |
+
class ModelConfig:
|
62 |
+
# Prompt
|
63 |
+
system: Optional[str]
|
64 |
+
|
65 |
+
role_prefix: dict
|
66 |
+
ai_role: str
|
67 |
+
eot_token: str
|
68 |
+
bos_token: Optional[str] = None
|
69 |
+
|
70 |
+
# Get template
|
71 |
+
def generate_conversation_template(self, tokenize_fn, tokenize_special_fn, message_list):
|
72 |
+
tokens = []
|
73 |
+
masks = []
|
74 |
+
|
75 |
+
# begin of sentence (bos)
|
76 |
+
if self.bos_token:
|
77 |
+
t = tokenize_special_fn(self.bos_token)
|
78 |
+
tokens.append(t)
|
79 |
+
masks.append(False)
|
80 |
+
|
81 |
+
# System
|
82 |
+
if self.system:
|
83 |
+
t = tokenize_fn(self.system) + [tokenize_special_fn(self.eot_token)]
|
84 |
+
tokens.extend(t)
|
85 |
+
masks.extend([False] * len(t))
|
86 |
+
|
87 |
+
# Messages
|
88 |
+
for idx, message in enumerate(message_list):
|
89 |
+
# Prefix
|
90 |
+
t = tokenize_fn(self.role_prefix[message["from"]])
|
91 |
+
tokens.extend(t)
|
92 |
+
masks.extend([False] * len(t))
|
93 |
+
|
94 |
+
# Message
|
95 |
+
if "value" in message:
|
96 |
+
t = tokenize_fn(message["value"]) + [tokenize_special_fn(self.eot_token)]
|
97 |
+
tokens.extend(t)
|
98 |
+
masks.extend([message["from"] == self.ai_role] * len(t))
|
99 |
+
else:
|
100 |
+
assert idx == len(message_list) - 1, "Empty message for completion must be on the last."
|
101 |
+
|
102 |
+
return tokens, masks
|
103 |
+
|
104 |
+
|
105 |
+
MODEL_CONFIG_MAP = {
|
106 |
+
# OpenChat / OpenChat-8192
|
107 |
+
"openchat": ModelConfig(
|
108 |
+
# Prompt
|
109 |
+
system=None,
|
110 |
+
|
111 |
+
role_prefix={
|
112 |
+
"human": "Human: ",
|
113 |
+
"gpt": "Assistant: "
|
114 |
+
},
|
115 |
+
ai_role="gpt",
|
116 |
+
eot_token="<|end_of_turn|>",
|
117 |
+
bos_token="<s>",
|
118 |
+
),
|
119 |
+
|
120 |
+
# OpenCoder / OpenCoderPlus
|
121 |
+
"opencoder": ModelConfig(
|
122 |
+
# Prompt
|
123 |
+
system=None,
|
124 |
+
|
125 |
+
role_prefix={
|
126 |
+
"human": "User:",
|
127 |
+
"gpt": "Assistant:"
|
128 |
+
},
|
129 |
+
ai_role="gpt",
|
130 |
+
eot_token="<|end_of_turn|>",
|
131 |
+
bos_token=None,
|
132 |
+
)
|
133 |
+
}
|
134 |
+
```
|