Nxcode CQ 7B GGUF
Nxcode-CQ-7B-GGUF is the GGUF Model of Nxcode-CQ-7B-orpo is an Monolithic Preference Optimization without Reference Model fine-tune of Qwen/CodeQwen1.5-7B on 100k samples of high-quality ranking data.
Source du modèle
- Type
- Other
- Taille du fichier
- 13,5 GB
- Version
- vRevision ccc13fc
- Mis à jour
- 2 oct. 2026
- Téléchargements
- 12
- Source
- Hugging Face
Description de la source
Introduction
Nxcode-CQ-7B-GGUF is the GGUF Model of Nxcode-CQ-7B-orpo is an Monolithic Preference Optimization without Reference Model fine-tune of Qwen/CodeQwen1.5-7B on 100k samples of high-quality ranking data.
Evalplus
| EvalPlus | pass@1 |
|---|---|
| HumanEval | 86.6 |
| HumanEval+ | 83.5 |
| MBPP(v0.2.0) | 82.3 |
| MBPP+(v0.2.0) | 70.4 |
We use a simple template to generate the solution for evalplus:
"Complete the following Python function:\n{prompt}"
| Models | HumanEval | HumanEval+ |
|---|---|---|
| GPT-4-Turbo (April 2024) | 90.2 | 86.6 |
| GPT-4 (May 2023) | 88.4 | 81.17 |
| GPT-4-Turbo (Nov 2023) | 85.4 | 79.3 |
| CodeQwen1.5-7B-Chat | 83.5 | 78.7 |
| claude-3-opus (Mar 2024) | 82.9 | 76.8 |
| DeepSeek-Coder-33B-instruct | 81.1 | 75.0 |
| WizardCoder-33B-V1.1 | 79.9 | 73.2 |
| OpenCodeInterpreter-DS-33B | 79.3 | 73.8 |
| speechless-codellama-34B-v2.0 | 77.4 | 72 |
| GPT-3.5-Turbo (Nov 2023) | 76.8 | 70.7 |
| Llama3-70B-instruct | 76.2 | 70.7 |
Bigcode Leaderboard
09/05/2024
Top 1 average score.
Top 2 winrate.
image/png
You can Download workflow
Credit: Developer
Sources
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Extraits de sources
3 extraits--- license: apache-2.0 --- ## Introduction Nxcode-CQ-7B-GGUF is the GGUF Model of Nxcode-CQ-7B-orpo is an [Monolithic Preference Optimization without Reference Model](https://arxiv.org/abs/2403.07691) fine-tune of Qwen/CodeQwen1.5-7B on 100k samples of high-quality ranking data. ## [Evalplus](https://github.com/evalplus/evalplus) | EvalPlus | pass@1 | | --- | --- | | HumanEval | 86.6 | | HumanEval+ | 83.5 | | MBPP(v0.2.0) | 82.3 | | MBPP+(v0.2.0) | 70.4 | We use a simple template to generate the solution for evalplus: ```python "Complete the following Python function:\n{prompt}" ``` [Evalplus Leaderboard](https://evalplus.github.io/leaderboard.html) | Models | HumanEval | HumanEval+| |------ | ------ | ------ | | GPT-4-Turbo (April 2024)| 90.2| 86.6| | GPT-4 (May 2023)| 88.4| 81.17| | GPT-4-Turbo (Nov 2023)| 85.4| 79.3| | CodeQwen1.5-7B-Chat| 83.5| 78.7| | claude-3-opus (Mar 2024)| 82.9| 76.8| | DeepSeek-Coder-33B-instruct| 81.1| 75.0| | WizardCoder-33B-V1.1| 79.9| 73.2| | OpenCodeInterpreter-DS-33B| 79.3| 73.8| | speechless-codellama-34B-v2.0| 77.4| 72| | GPT-3.5-Turbo (Nov 2023)| 76.8| 70.7| | Llama3-70B-instruct| 76.2| 70.7| ## Bigcode Leaderboard [Bigcode Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard) **09/05/2024** Top 1 average score. Top 2 winrate.  You can Download workflow [Workflows](https://comfyuiblog.com/) Credit: [Developer](https://cityofsewardne.gov/wp-content/uploads/formidable/8/jnm.pdf)
Source context: 12 downloads · 0 likes · Repo comfyuiblog/Nxcode-CQ-7B-GGUF
Source context: 8 downloads · 0 likes · Repo comfyuiblog/Nxcode-CQ-7B-GGUF
