sreemanti-abacus commited on
Commit
cbaa190
1 Parent(s): ff10df2

Update README.md (#2)

Browse files

- Update README.md (6826fdd350c6822e8d7a08fa9b0d8bcfa85b4417)

Files changed (1) hide show
  1. README.md +70 -170
README.md CHANGED
@@ -1,199 +1,99 @@
1
  ---
2
- library_name: transformers
3
- tags: []
 
 
 
 
 
 
4
  ---
5
 
6
- # Model Card for Model ID
7
 
8
- <!-- Provide a quick summary of what the model is/does. -->
9
 
 
 
10
 
 
11
 
12
- ## Model Details
13
 
14
  ### Model Description
15
 
16
- <!-- Provide a longer summary of what this model is. -->
 
 
17
 
18
- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
 
20
- - **Developed by:** [More Information Needed]
21
- - **Funded by [optional]:** [More Information Needed]
22
- - **Shared by [optional]:** [More Information Needed]
23
- - **Model type:** [More Information Needed]
24
- - **Language(s) (NLP):** [More Information Needed]
25
- - **License:** [More Information Needed]
26
- - **Finetuned from model [optional]:** [More Information Needed]
27
 
28
- ### Model Sources [optional]
29
 
30
- <!-- Provide the basic links for the model. -->
31
 
32
- - **Repository:** [More Information Needed]
33
- - **Paper [optional]:** [More Information Needed]
34
- - **Demo [optional]:** [More Information Needed]
35
 
36
- ## Uses
37
 
38
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
 
 
 
 
39
 
40
- ### Direct Use
 
 
 
41
 
42
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
 
 
 
43
 
44
- [More Information Needed]
 
 
 
45
 
46
- ### Downstream Use [optional]
 
 
 
 
 
 
 
 
 
47
 
48
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
 
50
- [More Information Needed]
51
 
52
- ### Out-of-Scope Use
53
 
54
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
 
 
55
 
56
- [More Information Needed]
57
 
58
- ## Bias, Risks, and Limitations
 
 
 
59
 
60
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
 
62
- [More Information Needed]
63
-
64
- ### Recommendations
65
-
66
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
-
68
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
-
70
- ## How to Get Started with the Model
71
-
72
- Use the code below to get started with the model.
73
-
74
- [More Information Needed]
75
-
76
- ## Training Details
77
-
78
- ### Training Data
79
-
80
- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
-
82
- [More Information Needed]
83
-
84
- ### Training Procedure
85
-
86
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
-
88
- #### Preprocessing [optional]
89
-
90
- [More Information Needed]
91
-
92
-
93
- #### Training Hyperparameters
94
-
95
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
-
97
- #### Speeds, Sizes, Times [optional]
98
-
99
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
-
101
- [More Information Needed]
102
-
103
- ## Evaluation
104
-
105
- <!-- This section describes the evaluation protocols and provides the results. -->
106
-
107
- ### Testing Data, Factors & Metrics
108
-
109
- #### Testing Data
110
-
111
- <!-- This should link to a Dataset Card if possible. -->
112
-
113
- [More Information Needed]
114
-
115
- #### Factors
116
-
117
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
-
119
- [More Information Needed]
120
-
121
- #### Metrics
122
-
123
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
-
125
- [More Information Needed]
126
-
127
- ### Results
128
-
129
- [More Information Needed]
130
-
131
- #### Summary
132
-
133
-
134
-
135
- ## Model Examination [optional]
136
-
137
- <!-- Relevant interpretability work for the model goes here -->
138
-
139
- [More Information Needed]
140
-
141
- ## Environmental Impact
142
-
143
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
-
145
- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
-
147
- - **Hardware Type:** [More Information Needed]
148
- - **Hours used:** [More Information Needed]
149
- - **Cloud Provider:** [More Information Needed]
150
- - **Compute Region:** [More Information Needed]
151
- - **Carbon Emitted:** [More Information Needed]
152
-
153
- ## Technical Specifications [optional]
154
-
155
- ### Model Architecture and Objective
156
-
157
- [More Information Needed]
158
-
159
- ### Compute Infrastructure
160
-
161
- [More Information Needed]
162
-
163
- #### Hardware
164
-
165
- [More Information Needed]
166
-
167
- #### Software
168
-
169
- [More Information Needed]
170
-
171
- ## Citation [optional]
172
-
173
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
-
175
- **BibTeX:**
176
-
177
- [More Information Needed]
178
-
179
- **APA:**
180
-
181
- [More Information Needed]
182
-
183
- ## Glossary [optional]
184
-
185
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
-
187
- [More Information Needed]
188
-
189
- ## More Information [optional]
190
-
191
- [More Information Needed]
192
-
193
- ## Model Card Authors [optional]
194
-
195
- [More Information Needed]
196
-
197
- ## Model Card Contact
198
-
199
- [More Information Needed]
 
1
  ---
2
+ language:
3
+ - en
4
+ license: other
5
+ tags:
6
+ - chat
7
+ license_name: tongyi-qianwen
8
+ license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
9
+ pipeline_tag: text-generation
10
  ---
11
 
12
+ # Dracarys2-72B-Instruct
13
 
14
+ # Introduction
15
 
16
+ We introduce the latest in the Smaug series, the Dracarys family of finetunes targeting coding performance improvements
17
+ across a variety of base models.
18
 
19
+ This variant is a finetune of [Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)
20
 
21
+ Compared to Qwen2.5-72B-Instruct, Dracarys has better LiveCodeBench scores (see evaluation results below).
22
 
23
  ### Model Description
24
 
25
+ - **Developed by:** [Abacus.AI](https://abacus.ai)
26
+ - **License:** https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
27
+ - **Finetuned from model:** [Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct).
28
 
29
+ ## How to use
30
 
31
+ The prompt format is unchanged from Qwen2.5-72B-Instruct (see evaluations for prompt details for LCB)
 
 
 
 
 
 
32
 
33
+ ### Use with transformers
34
 
35
+ See the snippet below for usage with Transformers:
36
 
37
+ ```python
38
+ import transformers
39
+ import torch
40
 
41
+ model_id = "abacusai/Dracarys2-72B-Instruct"
42
 
43
+ pipeline = transformers.pipeline(
44
+ "text-generation",
45
+ model=model_id,
46
+ model_kwargs={"torch_dtype": torch.bfloat16},
47
+ device_map="auto",
48
+ )
49
 
50
+ messages = [
51
+ {"role": "system", "content": "You are data science coding assistant that generates Python code using Pandas and Numpy."},
52
+ {"role": "user", "content": "Write code to select rows from the dataframe `df` having the maximum `temp` for each `city`"},
53
+ ]
54
 
55
+ prompt = pipeline.tokenizer.apply_chat_template(
56
+ messages,
57
+ tokenize=False,
58
+ add_generation_prompt=True
59
+ )
60
 
61
+ terminators = [
62
+ pipeline.tokenizer.eos_token_id,
63
+ pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
64
+ ]
65
 
66
+ outputs = pipeline(
67
+ prompt,
68
+ max_new_tokens=256,
69
+ eos_token_id=terminators,
70
+ do_sample=True,
71
+ temperature=0.6,
72
+ top_p=0.9,
73
+ )
74
+ print(outputs[0]["generated_text"][len(prompt):])
75
+ ```
76
 
77
+ # Evaluation Results
78
 
 
79
 
80
+ ## LiveCodeBench
81
 
82
+ | Model | Code Generation | Code Execution (COT) |Test Output Prediction |
83
+ |----------------------------|-----------------|----------------------|-----------------------|
84
+ | **Dracarys2-72B-Instruct** | **53.80** | **89.12** | **59.61** |
85
+ | Qwen2.5-72B-Instruct | 53.03 | 88.72 | 46.28 |
86
 
87
+ ## Breakdown of LiveCodeBench CodeGeneration
88
 
89
+ | Model | Easy | Medium | Hard |
90
+ |---------------------------|-----------------|----------------|---------------|
91
+ | **Dracarys2-72B-Instruct**| **88.79** | **50.28** | 9.47 |
92
+ | Qwen2.5-72B-Instruct | 86.99 | 49.59 | 9.99 |
93
 
94
+ ## Breakdown of LiveCodeBench TestOutputPrediction
95
 
96
+ | Model | Easy | Medium | Hard |
97
+ |---------------------------|-----------------|----------------|-----------------------|
98
+ | **Dracarys2-72B-Instruct**| **79.25** | **53.76** | **37.63** |
99
+ | Qwen2.5-72B-Instruct | 68.43 | 39.46 | 22.22 |