Sponsored by
i10X
m-a-p / OpenCodeInterpreter-SC2-3B
Model's Last Updated: March 03 2024
text-generation
Introduction of OpenCodeInterpreter-SC2-3B
Model Details of OpenCodeInterpreter-SC2-3B
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Introduction
OpenCodeInterpreter is a family of open-source code generation systems designed to bridge the gap between large language models and advanced proprietary systems like the GPT-4 Code Interpreter. It significantly advances code generation capabilities by integrating execution and iterative refinement functionalities.
For further information and related work, refer to our paper: "OpenCodeInterpreter: A System for Enhanced Code Generation and Execution" available on arXiv.
Model Information
This model is based on starcoder2-3b .
Benchmark Scores
The OpenCodeInterpreter Models series exemplifies the evolution of coding model performance, particularly highlighting the significant enhancements brought about by the integration of execution feedback. In an effort to quantify these improvements, we present a detailed comparison across two critical benchmarks: HumanEval and MBPP. This comparison not only showcases the individual performance metrics on each benchmark but also provides an aggregated view of the overall performance enhancement. The subsequent table succinctly encapsulates the performance data, offering a clear perspective on how execution feedback contributes to elevating the models' capabilities in code interpretation and execution tasks.
| Benchmark | HumanEval (+) | MBPP (+) | Average (+) |
|---|---|---|---|
| OpenCodeInterpreter-DS-1.3B | 65.2 (61.0) | 63.4 (52.4) | 64.3 (56.7) |
| + Execution Feedback | 65.2 (62.2) | 65.2 (55.6) | 65.2 (58.9) |
| OpenCodeInterpreter-DS-6.7B | 76.2 (72.0) | 73.9 (63.7) | 75.1 (67.9) |
| + Execution Feedback | 81.1 (78.7) | 82.7 (72.4) | 81.9 (75.6) |
| + Synth. Human Feedback | 87.2 (86.6) | 86.2 (74.2) | 86.7 (80.4) |
| + Synth. Human Feedback (Oracle) | 89.7 (86.6) | 87.2 (75.2) | 88.5 (80.9) |
| OpenCodeInterpreter-DS-33B | 79.3 (74.3) | 78.7 (66.4) | 79.0 (70.4) |
| + Execution Feedback | 82.9 (80.5) | 83.5 (72.2) | 83.2 (76.4) |
| + Synth. Human Feedback | 88.4 (86.0) | 87.5 (75.9) | 88.0 (81.0) |
| + Synth. Human Feedback (Oracle) | 92.7 (89.7) | 90.5 (79.5) | 91.6 (84.6) |
| OpenCodeInterpreter-CL-7B | 72.6 (67.7) | 66.4 (55.4) | 69.5 (61.6) |
| + Execution Feedback | 75.6 (70.1) | 69.9 (60.7) | 72.8 (65.4) |
| OpenCodeInterpreter-CL-13B | 77.4 (73.8) | 70.7 (59.2) | 74.1 (66.5) |
| + Execution Feedback | 81.1 (76.8) | 78.2 (67.2) | 79.7 (72.0) |
| OpenCodeInterpreter-CL-34B | 78.0 (72.6) | 73.4 (61.4) | 75.7 (67.0) |
| + Execution Feedback | 81.7 (78.7) | 80.2 (67.9) | 81.0 (73.3) |
| OpenCodeInterpreter-CL-70B | 76.2 (70.7) | 73.0 (61.9) | 74.6 (66.3) |
| + Execution Feedback | 79.9 (77.4) | 81.5 (69.9) | 80.7 (73.7) |
| OpenCodeInterpreter-GM-7B | 56.1 (50.0) | 39.8 (34.6) | 48.0 (42.3) |
| + Execution Feedback | 64.0 (54.3) | 48.6 (40.9) | 56.3 (47.6) |
| OpenCodeInterpreter-SC2-3B | 65.2 (57.9) | 62.7 (52.9) | 64.0 (55.4) |
| + Execution Feedback | 67.1 (60.4) | 63.4 (54.9) | 65.3 (57.7) |
| OpenCodeInterpreter-SC2-7B | 73.8 (68.9) | 61.7 (51.1) | 67.8 (60.0) |
| + Execution Feedback | 75.6 (69.5) | 66.9 (55.4) | 71.3 (62.5) |
| OpenCodeInterpreter-SC2-15B | 75.6 (69.5) | 71.2 (61.2) | 73.4 (65.4) |
| + Execution Feedback | 77.4 (72.0) | 74.2 (63.4) | 75.8 (67.7) |
Note: The "(+)" notation represents scores from extended versions of the HumanEval and MBPP benchmarks. To ensure a fair comparison, the results shown for adding execution feedback are based on outcomes after just one iteration of feedback, without unrestricted iterations. This approach highlights the immediate impact of execution feedback on performance improvements across benchmarks.
Model Usage
Inference
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_path="m-a-p/OpenCodeInterpreter-SC2-3B"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
model_path,
torch_dtype=torch.bfloat16,
device_map="auto",
)
model.eval()
prompt = "Write a function to find the shared elements from the given two lists."
inputs = tokenizer.apply_chat_template(
[{'role': 'user', 'content': prompt }],
return_tensors="pt"
).to(model.device)
outputs = model.generate(
inputs,
max_new_tokens=1024,
do_sample=False,
pad_token_id=tokenizer.eos_token_id,
eos_token_id=tokenizer.eos_token_id,
)
print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))
Contact
If you have any inquiries, please feel free to raise an issue or reach out to us via email at: [email protected] , [email protected] . We're here to assist you!"
Runs of m-a-p OpenCodeInterpreter-SC2-3B on huggingface.co
12
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
-6
30-day runs
More Information About OpenCodeInterpreter-SC2-3B huggingface.co Model
Url of OpenCodeInterpreter-SC2-3B
OpenCodeInterpreter-SC2-3B huggingface.co Url
Provider of OpenCodeInterpreter-SC2-3B huggingface.co
Other API from m-a-p
Total runs:
5.2K
Run Growth:
1.1K
Growth Rate:
19.83%
Total runs:
1.1K
Run Growth:
637
Growth Rate:
62.15%
Total runs:
871
Run Growth:
725
Growth Rate:
88.20%
Total runs:
776
Run Growth:
579
Growth Rate:
78.56%
Total runs:
754
Run Growth:
615
Growth Rate:
87.98%
Total runs:
729
Run Growth:
678
Growth Rate:
93.91%
Total runs:
560
Run Growth:
139
Growth Rate:
24.51%
Total runs:
397
Run Growth:
311
Growth Rate:
92.56%
Total runs:
197
Run Growth:
117
Growth Rate:
59.69%
Total runs:
172
Run Growth:
-1.2K
Growth Rate:
-704.24%
Total runs:
169
Run Growth:
94
Growth Rate:
54.65%
Total runs:
155
Run Growth:
99
Growth Rate:
44.80%
Total runs:
111
Run Growth:
79
Growth Rate:
76.70%
Total runs:
100
Run Growth:
100
Growth Rate:
93.46%
Total runs:
85
Run Growth:
-15
Growth Rate:
-17.86%
Total runs:
60
Run Growth:
-95
Growth Rate:
-158.33%
Total runs:
55
Run Growth:
37
Growth Rate:
67.27%
Total runs:
50
Run Growth:
22
Growth Rate:
44.00%
Total runs:
35
Run Growth:
13
Growth Rate:
34.21%
Total runs:
33
Run Growth:
8
Growth Rate:
24.24%
Total runs:
32
Run Growth:
9
Growth Rate:
28.13%
Total runs:
28
Run Growth:
24
Growth Rate:
85.71%
Total runs:
27
Run Growth:
11
Growth Rate:
40.74%
Total runs:
27
Run Growth:
-98
Growth Rate:
-288.24%
Total runs:
27
Run Growth:
-49
Growth Rate:
-181.48%
Total runs:
26
Run Growth:
3
Growth Rate:
11.54%
Total runs:
24
Run Growth:
23
Growth Rate:
95.83%
Total runs:
24
Run Growth:
10
Growth Rate:
41.67%
Total runs:
23
Run Growth:
14
Growth Rate:
60.87%
Total runs:
23
Run Growth:
20
Growth Rate:
86.96%
Total runs:
23
Run Growth:
-1
Growth Rate:
-4.35%
Total runs:
21
Run Growth:
11
Growth Rate:
52.38%
Total runs:
20
Run Growth:
-3
Growth Rate:
-15.00%
Total runs:
20
Run Growth:
3
Growth Rate:
15.00%
Total runs:
20
Run Growth:
-53
Growth Rate:
-252.38%
Total runs:
19
Run Growth:
5
Growth Rate:
26.32%
Total runs:
18
Run Growth:
3
Growth Rate:
16.67%
Total runs:
17
Run Growth:
-7
Growth Rate:
-41.18%
Total runs:
15
Run Growth:
-3
Growth Rate:
-18.75%
Total runs:
15
Run Growth:
-7
Growth Rate:
-46.67%
Total runs:
15
Run Growth:
10
Growth Rate:
66.67%
Total runs:
14
Run Growth:
-2
Growth Rate:
-14.29%
Total runs:
14
Run Growth:
8
Growth Rate:
57.14%
Total runs:
14
Run Growth:
-10
Growth Rate:
-71.43%
Total runs:
13
Run Growth:
-11
Growth Rate:
-84.62%
Total runs:
13
Run Growth:
-15
Growth Rate:
-115.38%
Total runs:
13
Run Growth:
5
Growth Rate:
45.45%
Total runs:
12
Run Growth:
3
Growth Rate:
25.00%
Total runs:
12
Run Growth:
-7
Growth Rate:
-46.67%
Total runs:
12
Run Growth:
1
Growth Rate:
8.33%
Total runs:
11
Run Growth:
7
Growth Rate:
77.78%
Total runs:
11
Run Growth:
-7
Growth Rate:
-63.64%
Total runs:
11
Run Growth:
-4
Growth Rate:
-26.67%
Total runs:
11
Run Growth:
1
Growth Rate:
10.00%
Total runs:
11
Run Growth:
7
Growth Rate:
63.64%
Total runs:
11
Run Growth:
-25
Growth Rate:
-227.27%
Total runs:
10
Run Growth:
-8
Growth Rate:
-80.00%
Total runs:
10
Run Growth:
2
Growth Rate:
22.22%
Total runs:
10
Run Growth:
-3
Growth Rate:
-33.33%
Total runs:
10
Run Growth:
4
Growth Rate:
36.36%
Total runs:
9
Run Growth:
3
Growth Rate:
33.33%
Total runs:
9
Run Growth:
3
Growth Rate:
33.33%
Total runs:
9
Run Growth:
-16
Growth Rate:
-177.78%
Total runs:
9
Run Growth:
2
Growth Rate:
33.33%
Total runs:
9
Run Growth:
1
Growth Rate:
11.11%
Total runs:
9
Run Growth:
5
Growth Rate:
55.56%
Total runs:
9
Run Growth:
8
Growth Rate:
88.89%
Total runs:
9
Run Growth:
-1
Growth Rate:
-11.11%
Total runs:
8
Run Growth:
3
Growth Rate:
37.50%
Total runs:
8
Run Growth:
1
Growth Rate:
14.29%