This repo contains GGUF format model files for Multimodal Art Projection Research Community (M-A-P)’s OpenCodeInterpreter-DS-6.7B.
The introduction of large language models has significantly advanced code generation. However, open-source models often lack the execution capabilities and iterative refinement of advanced systems like the GPT-4 Code Interpreter. To address this, we introduce OpenCodeInterpreter, a family of open-source code systems designed for generating, executing, and iteratively refining code. Supported by Code-Feedback, a dataset featuring 68K multi-turn interactions, OpenCodeInterpreter integrates execution and human feedback for dynamic code refinement. Our comprehensive evaluation of OpenCodeInterpreter across key benchmarks such as HumanEval, MBPP, and their enhanced versions from EvalPlus reveals its exceptional performance. Notably, OpenCodeInterpreter-33B achieves an accuracy of 83.2 (76.4) on the average (and plus versions) of HumanEval and MBPP, closely rivaling GPT-4's 84.2 (76.2) and further elevates to 91.6 (84.6) with synthesized human feedback from GPT-4. OpenCodeInterpreter brings the gap between open-source code generation models and proprietary systems like GPT-4 Code Interpreter.
GGUF is a file format for representing AI models. It is the third version of the format, introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
Converted using llama.cpp build 2249 (revision
15499eb
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Prompt template
<|User|>
{{prompt}}
<|Assistant|>
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The study leverages data from the EvalPlus leaderboard, examining OpenCodeInterpreter's performance against benchmarks such as GPT-3.5/4-Turbo, CodeLlama-Python, WizardCoder, Deepseek-Coder, and CodeT5+ across various scales on the HumanEval and MBPP benchmarks and their advanced versions. For multi-turn code generation, the focus shifts to assessing OpenCodeInterpreter's capability in iterative refinement through a two-round limit, considering execution feedback and human feedback scenarios. The experimental setup aims to highlight OpenCodeInterpreter's adaptability and proficiency in code generation, underscored by its achievements in setting new standards in software development tools through iterative feedback and refinement.
OpenCodeInterpreter-DS-6.7B-GGUF huggingface.co is an AI model on huggingface.co that provides OpenCodeInterpreter-DS-6.7B-GGUF's model effect (), which can be used instantly with this brittlewis12 OpenCodeInterpreter-DS-6.7B-GGUF model. huggingface.co supports a free trial of the OpenCodeInterpreter-DS-6.7B-GGUF model, and also provides paid use of the OpenCodeInterpreter-DS-6.7B-GGUF. Support call OpenCodeInterpreter-DS-6.7B-GGUF model through api, including Node.js, Python, http.
OpenCodeInterpreter-DS-6.7B-GGUF huggingface.co is an online trial and call api platform, which integrates OpenCodeInterpreter-DS-6.7B-GGUF's modeling effects, including api services, and provides a free online trial of OpenCodeInterpreter-DS-6.7B-GGUF, you can try OpenCodeInterpreter-DS-6.7B-GGUF online for free by clicking the link below.
brittlewis12 OpenCodeInterpreter-DS-6.7B-GGUF online free url in huggingface.co:
OpenCodeInterpreter-DS-6.7B-GGUF is an open source model from GitHub that offers a free installation service, and any user can find OpenCodeInterpreter-DS-6.7B-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of OpenCodeInterpreter-DS-6.7B-GGUF install, users can directly use OpenCodeInterpreter-DS-6.7B-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
OpenCodeInterpreter-DS-6.7B-GGUF install url in huggingface.co: